1 Background

This report shows the analysis performed for metagenomics sequencing from the gut microbiome of 70 pregnancies (36 in women with T1D) from a total of 66 different women. For each pregnant woman, samples were taken at 1 to 3 different time points during the pregnancy (i.e. corresponding to trimesters, up until day ~280 when the child is born) to give a total of 134 samples. From the 32 pregnant women, 16 are diabetic (T1D). For some analyses, time points were categorised into trimesters, correspondence being:

Trimester 1 = 0-99 days Trimester 2 = 100-196 days Trimester 3 = 196-280 days

2 Data generation

Samples were shotgun sequenced using the NovaSeq 6000 illumina sequencing machine at the Ramaciotti Centre for Genomics located at the University of New South Wales (UNSW) in Sydney, Australia.

2.1 Processing the sequences: from sequence data to feature table

The data was processed through pipelines developed by the group of Curtis Huttenhower at Harvard Univerisity and Broad Institute. These pipelines belong to the BioBakery.

The raw data was uploaded to the short read archive (SRA) database (https://www.ncbi.nlm.nih.gov/sra/) with accession number PRJNA604850.

KneadData (https://bitbucket.org/biobakery/biobakery/wiki/kneaddata) was used to filter human (“contaminant”) sequences as well as quality controlling the sequences This has to be done for each sample. Example:

kneaddata –input 4_S1_R1_001.fastq.gz –input 4_S1_R2_001.fastq.gz -db /home/users/allstaff/schulze.a/bin/Kneaddata/Homo_sapiens –trimmomatic /usr/local/bioinfsoftware/trimmomatic/trimmomatic-0.36 –output ./kneaddata_output -t 12

HUMAnN2 (https://bitbucket.org/biobakery/humann2/wiki/Home) was employed to quantify gene families and pathways; and within HUMANn2, Metaphlan was also used to obtain taxonomic profiles. This process is also performed per sample and read pair1 and read pair2 need to be concatenated and saved in the same file prior to running HUMAn2 (i.e. end-pairing relationships are currently not taken into account during HUMAnN2’s alignment steps. This is due to the fact that HUMAnN2 strictly aligns reads to isolated coding sequences: either at the nucleotide level or through translated search. As such, it will frequently be the case that one read (READ1) will map inside a given coding sequence while its mate-pair (READ2) will not [information obtained from the manual]). Example of running HUMAnN2 with a sample:

humann2 -i NGU5366A1.fastq -o ./Output_HUMAnN2 –threads 28

Running this outputs several files, among those is “NGU5366A1_metaphlan_bugs_list.tsv”, which is a list of the bacterial taxa found in that sample at all taxonomic levels (i.e. stratified data) and their relative normalizaed abundances. The script merge_metaphlan_tables.py was used to merge the MetaPhlAn output from several samples into one table taxa (rows) vs samples (columns) with the table enlisting the relative normalized abundances per sample per taxa. Example:

merge_metaphlan_tables.py metaphlan_output1.txt metaphlan_output2.txt metaphlan_output3.txt > ./merged_abundance_table_Rel_Abundance.txt

As mentioned above, the abundance table (profile) contains the stratified data. In order to obtain a table that contains the taxa at a specific taxonomic level (e.g. Species), grep was used. Example for species taxonomic level:

grep ’s__’ merged_abundance_table_Rel_Abundance.txt | grep -v ’t’ > merged_abundance_table_Rel_Abundance_Sp.tsv # -v (exclude) ’t’ will prevent from selecting those lines that have species and strain (’t__’) classification. We just need species in this case.

Example for genus taxonomic level:

grep ’g__’ merged_abundance_table_Rel_Abundance.txt | grep -v ’t’ | grep -v ’s’ > merged_abundance_table_Rel_Abundance_Genus.tsv

Note: For other taxonomic levels, this process was repeated for each taxonomic level.

This table contains the whole taxonomy for each taxa, from “kindom” to “Species” along with per sample abundances (i.e. counts per million [CPM]). From this table the taxonomy was obtained. The taxa table is then transformed into a biom file in JSON format and the taxonomic and metadata infomation were added with the software biom. Example:

biom convert -i merged_abundance_table_Rel_Abundance_Sp.tsv -o merged_abundance_table_Rel_Abundance_Sp.biom –table-type=“OTU table” –to-json
biom add-metadata –sc-separated taxonomy –observation-header OTUID,taxonomy –observation-metadata-fp Species_taxonomy.txt -i merged_abundance_table_Rel_Abundance_Sp.biom -o Pregnancy_NovaSeq_taxonomic_profile_Rel_Species_NV_wTax.biom
biom add-metadata -i Pregnancy_NovaSeq_taxonomic_profile_Rel_Species_NV_wTax.biom -o Pregnancy_NovaSeq_taxonomic_profile_Rel_Species_NV_wTaxMet.biom –sample-metadata-fp ./metadata.csv

This process was repeated at for each taxonomic level.

The resulting taxa tables (one for each taxonomic level) with taxonomies and metadata were imported into R to process with the Phyloseq (https://github.com/joey711/phyloseq) and other packages. The data were first de-identified (i.e. data relating to the identification of the donor was removed) and R objects were saved (i.e. A total of 6 taxonomic and 3 functional files were generated). Those R objects were used as inputs in the analysis performed in this document. These objects and other files used in this markdown can be found at https://github.com/PapenfussLab/RothSchulze_pregnancy-gut-microbiome-T1D and all the paths needs to be changed in this document in order to reproduce the analysis.

3 Taxonomic differential abundance analysis

3.1 DA taxa (T1D vs. non-T1D) statistics

Trimester Taxa TaxLevel LogFC P.Val adj.P.Val NT1DPrev T1DPrev
1 All Bacteroides_caccae Species -5.257934 0.00056 0.034 83.333 91.176
8 All Bacteroidales_bacterium_ph8 Species 3.577858 0.00063 0.034 96.970 88.235
24 T3 Bacteroides_caccae Species -6.399734 0.00004 0.004 70.588 88.235
30 T3 Bacteroides_vulgatus Species -3.172461 0.00144 0.042 88.235 97.059
31 T3 Bacteroides_uniformis Species -2.478485 0.00155 0.042 94.118 100.000
32 T3 Bacteroidales_bacterium_ph8 Species 4.071057 0.00020 0.011 94.118 79.412
34 All Bacteroides_caccae_St_Bacteroides_caccae_unclassified Strain -5.721263 0.00037 0.029 83.333 91.176
40 All Bacteroidales_bacterium_ph8_St_GCF_000311925 Strain 3.999880 0.00059 0.029 96.970 88.235
56 T3 Bacteroides_caccae_St_Bacteroides_caccae_unclassified Strain -6.725772 0.00004 0.004 70.588 88.235
60 T3 Bacteroides_vulgatus_St_Bacteroides_vulgatus_unclassified Strain -3.382729 0.00155 0.051 88.235 97.059
61 T3 Bacteroidales_bacterium_ph8_St_GCF_000311925 Strain 4.709929 0.00009 0.005 94.118 79.412
65 All Bacteroidales_noname Genus 2.976410 0.00172 0.082 96.970 88.235
75 T3 Bacteroidales_noname Genus 3.781972 0.00020 0.010 94.118 79.412
78 All Bacteroidales_noname Family 2.734165 0.00186 0.046 96.970 88.235
85 T3 Bacteroidales_noname Family 3.670013 0.00015 0.004 94.118 79.412
86 All Enterobacteriales Order -2.622871 0.01026 0.070 92.424 97.059
87 All Bifidobacteriales Order 2.111610 0.01076 0.070 96.970 95.588
90 T3 Bifidobacteriales Order 2.692839 0.00148 0.019 97.059 94.118

3.2 DA taxa (T1D vs. non-T1D) plots

3.3 DA taxa (Trimesters) statistics

Trimester Taxa TaxLevel LogFC P.Val adj.P.Val TPrev TSPrev
3 T23T1D Streptococcus_thermophilus Species -5.6274021 0.00080 0.043 31.818 67.647
5 T23T1D Odoribacter_splanchnicus Species 2.1869352 0.00271 0.098 100.000 94.118
7 T23T1D Peptostreptococcaceae_noname_unclassified Species 5.8145242 0.00020 0.021 72.727 38.235
16 T12NT1D Streptococcus_thermophilus Species -6.6473478 0.00129 0.059 27.273 61.905
17 T12NT1D Bifidobacterium_animalis Species -5.7957685 0.00103 0.059 9.091 47.619
23 T12NT1D Anaerostipes_hadrus Species 3.3519719 0.00161 0.059 90.909 66.667
25 T12NT1D Veillonella_unclassified Species 4.5995861 0.00305 0.083 81.818 61.905
38 T13NT1D Ruminococcus_sp_5_1_39BFAA Species -6.9639712 0.00180 0.065 9.091 47.059
39 T13NT1D Lachnospiraceae_bacterium_3_1_57FAA_CT1 Species -4.6460917 0.00275 0.075 18.182 52.941
50 T13NT1D Lachnospiraceae_bacterium_1_1_57FAA Species 6.1081725 0.00102 0.055 72.727 47.059
51 T13NT1D Haemophilus_parainfluenzae Species 6.4094774 0.00003 0.003 90.909 58.824
54 T23T1D Streptococcus_thermophilus_St_Streptococcus_thermophilus_unclassified Strain -5.4975326 0.00101 0.099 31.818 67.647
67 T12NT1D Streptococcus_thermophilus_St_Streptococcus_thermophilus_unclassified Strain -6.4114140 0.00184 0.060 27.273 61.905
68 T12NT1D Bifidobacterium_animalis_St_Bifidobacterium_animalis_unclassified Strain -5.5512159 0.00177 0.060 9.091 47.619
76 T12NT1D Anaerostipes_hadrus_St_GCF_000332875 Strain 3.8454739 0.00039 0.038 90.909 66.667
84 T23NT1D Anaerostipes_hadrus_St_GCF_000332875 Strain -3.2340257 0.00047 0.046 66.667 94.118
91 T13NT1D Ruminococcus_sp_5_1_39BFAA_St_GCF_000159975 Strain -6.7939561 0.00193 0.063 9.091 47.059
92 T13NT1D Lachnospiraceae_bacterium_3_1_57FAA_CT1_St_GCF_000218405 Strain -4.5357979 0.00310 0.076 18.182 52.941
100 T13NT1D Lachnospiraceae_bacterium_1_1_57FAA_St_GCF_000218445 Strain 6.3803226 0.00083 0.041 72.727 47.059
101 T13NT1D Haemophilus_parainfluenzae_St_Haemophilus_parainfluenzae_unclassified Strain 6.8653299 0.00001 0.001 90.909 58.824
116 T13T1D Prevotella Genus 5.5736074 0.00138 0.066 100.000 55.882
136 T13NT1D Haemophilus Genus 6.1696768 0.00008 0.004 90.909 58.824
142 T13T1D Porphyromonadaceae Family -0.5941106 0.00370 0.092 100.000 100.000
154 T13NT1D Pasteurellaceae Family 6.3036543 0.00010 0.002 90.909 58.824
159 T13NT1D Pasteurellales Order 5.8514689 0.00049 0.006 90.909 58.824
160 T23T1D Verrucomicrobia Phylum 2.6693666 0.00719 0.043 100.000 94.118

3.4 DA taxa (Trimesters) plots

4 Sensitivity analysis

Is it possible to detect differences in trimester 3 when we use the same number of samples used in trimester 1 in the main analysis?

Yes, we were able to detect 13 differentialy abundant species, 13 strains, 2 genera, 3 families, 2 orders and 3 phyla. From these, species Bacteroides caccae and B. uniformis, an unclassified strain of B. caccae and the order Bifidobacteriales were also detected in the larger dataset.

5 Analysing species composition of differentially abundant orders and genus

5.1 Are these species differentially abundant between women with and without T1D?

For this analysis, the data was transformed to obtain a normal distribution before applying the lmer test. To check that the residuals of data were normal after transformation (i.e. log2), a shapiro.test of the residuals of the model with transformed data was applied for each bacterial cluster/trimester. If the value of the Shapiro-Wilk Test is greater than 0.05, the data is normal. If it is below 0.05, the data significantly deviate from a normal distribution. For all the data, Shapiro-Wilk tests were above 0.05 and data was also visualised with ggqqplot(resid(X)) and hist(log2(X + 0.01)) as exemplified but silenced in the code, before performing the lmer test.

For B. adolescentis and Escherichia unclassified both only in trimester 3 the data could not be transformed into a normal distribution.

5.1.1 DA analysis between women with and without T1D for species Escherichia_coli Trimester T1

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -6.2729221 6.0268060 19.59610 -1.0408369 0.3106234
HLA.6DRMLDRXX 0.7089534 2.0680395 18.94969 0.3428142 0.7355118
HLA.6DRMLGroup3o4 -2.1367332 1.7928146 19.09817 -1.1918317 0.2479275
Nulliparous1 -2.7373287 1.4843110 21.78936 -1.8441746 0.0787986
Age_LMP -0.0192967 0.1805289 19.67979 -0.1068896 0.9159587
BMI_conception 0.2015116 0.1419388 20.39633 1.4197077 0.1707971
T1Dstatusyes 2.0665844 1.5999011 22.07333 1.2916951 0.2098248

5.1.2 DA analysis between women with and without T1D for species Escherichia_coli Trimester T2

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -10.0354150 5.6987377 38.24593 -1.7609891 0.0862345
HLA.6DRMLDRXX 1.0698117 1.5835979 32.92330 0.6755576 0.5040392
HLA.6DRMLGroup3o4 1.0527918 1.3247348 32.38409 0.7947189 0.4325630
Nulliparous1 -1.3513640 1.1375865 35.55402 -1.1879220 0.2427395
Age_LMP 0.1745013 0.1408026 37.84805 1.2393326 0.2228526
BMI_conception 0.1047359 0.1175043 35.77705 0.8913372 0.3787038
T1Dstatusyes 1.5539258 1.1543447 32.81385 1.3461540 0.1874795

5.1.3 DA analysis between women with and without T1D for species Escherichia_coli Trimester T3

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -3.8049111 5.1318445 66.55454 -0.7414315 0.4610401
HLA.6DRMLDRXX 6.2010120 1.5945997 66.60636 3.8887578 0.0002350
HLA.6DRMLGroup3o4 3.5266864 1.1636180 66.81074 3.0307940 0.0034680
Nulliparous1 -2.1252764 0.9934236 66.72990 -2.1393456 0.0360696
Age_LMP -0.1088285 0.1184704 65.83877 -0.9186135 0.3616509
BMI_conception 0.0471465 0.1066521 66.89747 0.4420594 0.6598721
T1Dstatusyes 3.7355667 0.9677752 66.62655 3.8599529 0.0002588

5.1.4 DA analysis between women with and without T1D for species Escherichia_unclassified Trimester T1

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -9.9632204 6.5452712 23 -1.5222013 0.1415899
HLA.6DRMLDRXX -2.4388883 2.2270349 23 -1.0951280 0.2847965
HLA.6DRMLGroup3o4 -2.2316848 1.9279478 23 -1.1575442 0.2589302
Nulliparous1 -2.8692186 1.5309940 23 -1.8740887 0.0736775
Age_LMP 0.3491894 0.1934793 23 1.8047894 0.0842183
BMI_conception -0.0918763 0.1488159 23 -0.6173824 0.5430471
T1Dstatusyes 1.9232812 1.6357773 23 1.1757598 0.2517184

5.1.5 DA analysis between women with and without T1D for species Escherichia_unclassified Trimester T2

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -5.8125627 5.3344698 40.25173 -1.0896233 0.2823597
HLA.6DRMLDRXX 0.9680879 1.3685629 16.62220 0.7073755 0.4891330
HLA.6DRMLGroup3o4 -0.1125318 1.1388593 16.31180 -0.0988110 0.9224925
Nulliparous1 -0.7209266 1.0306230 31.66853 -0.6995056 0.4893427
Age_LMP 0.0259041 0.1308245 38.32602 0.1980069 0.8440862
BMI_conception 0.0613994 0.1066394 31.69298 0.5757668 0.5688390
T1Dstatusyes 1.8663435 0.9956452 16.19778 1.8745066 0.0790115

5.1.6 DA analysis between women with and without T1D for species Escherichia_unclassified Trimester T3

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -2.6692072 4.1667170 67.42037 -0.6406020 0.5239527
HLA.6DRMLDRXX 1.3830750 1.2963379 62.90857 1.0669093 0.2900902
HLA.6DRMLGroup3o4 0.7160599 0.9468890 56.34032 0.7562237 0.4526656
Nulliparous1 -1.0546999 0.8058664 65.88572 -1.3087776 0.1951565
Age_LMP -0.0766279 0.0963269 67.50030 -0.7954991 0.4291118
BMI_conception 0.0689552 0.0864717 63.81014 0.7974306 0.4281584
T1Dstatusyes 0.6815612 0.7890334 51.91997 0.8637926 0.3916749

5.1.7 DA analysis between women with and without T1D for species Bifidobacterium_adolescentis Trimester T1

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -2.5455507 6.5648133 20.68058 -0.3877568 0.7021583
HLA.6DRMLDRXX -4.2827694 2.2441780 19.47945 -1.9083911 0.0711884
HLA.6DRMLGroup3o4 -0.6126190 1.9465516 19.60764 -0.3147201 0.7562986
Nulliparous1 1.9164518 1.6283540 21.64239 1.1769258 0.2520074
Age_LMP 0.1120164 0.1964396 20.12949 0.5702331 0.5748299
BMI_conception 0.0149847 0.1547873 20.51829 0.0968086 0.9238178
T1Dstatusyes -4.6150552 1.7573853 21.81206 -2.6260919 0.0154910

5.1.8 DA analysis between women with and without T1D for species Bifidobacterium_adolescentis Trimester T2

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -7.1872662 7.5788933 39.88636 -0.9483266 0.3486738
HLA.6DRMLDRXX -4.1764519 2.2506183 33.55018 -1.8556909 0.0723003
HLA.6DRMLGroup3o4 -1.4492631 1.8889757 33.49840 -0.7672217 0.4483238
Nulliparous1 0.9426346 1.5916264 34.00690 0.5922461 0.5576034
Age_LMP 0.4012515 0.1872998 40.18782 2.1422952 0.0382804
BMI_conception -0.1720292 0.1637658 34.47326 -1.0504584 0.3008159
T1Dstatusyes -2.1323240 1.6414467 33.54876 -1.2990516 0.2027836

5.1.9 DA analysis between women with and without T1D for species Bifidobacterium_adolescentis Trimester T3

Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.7738220 6.2239589 66.91393 0.1243296 0.9014271
HLA.6DRMLDRXX 1.6350567 1.9452686 63.10614 0.8405301 0.4037847
HLA.6DRMLGroup3o4 -0.1258593 1.4261916 59.04602 -0.0882485 0.9299778
Nulliparous1 -2.5925318 1.2062732 65.42299 -2.1492079 0.0353221
Age_LMP 0.0634281 0.1438522 67.09374 0.4409255 0.6606845
BMI_conception -0.1291360 0.1296542 64.12729 -0.9960035 0.3229920
T1Dstatusyes -0.3830260 1.1914811 55.41568 -0.3214705 0.7490633

5.1.10 DA analysis between women with and without T1D for species Bifidobacterium_longum Trimester T1

Estimate Std. Error df t value Pr(>|t|)
(Intercept) 3.2309455 7.6025111 23 0.4249840 0.6747979
HLA.6DRMLDRXX -1.5850752 2.5867618 23 -0.6127642 0.5460440
HLA.6DRMLGroup3o4 3.6766861 2.2393640 23 1.6418439 0.1142268
Nulliparous1 0.2677121 1.7782913 23 0.1505446 0.8816475
Age_LMP -0.1249724 0.2247315 23 -0.5560967 0.5835149
BMI_conception -0.0734993 0.1728537 23 -0.4252111 0.6746348
T1Dstatusyes 0.4637781 1.9000000 23 0.2440938 0.8093225

5.1.11 DA analysis between women with and without T1D for species Bifidobacterium_longum Trimester T2

Estimate Std. Error df t value Pr(>|t|)
(Intercept) 4.0702974 6.7620940 31.42452 0.6019285 0.5515403
HLA.6DRMLDRXX -1.9749138 1.9532168 26.89538 -1.0111083 0.3209751
HLA.6DRMLGroup3o4 2.0195868 1.6393545 31.23729 1.2319403 0.2271648
Nulliparous1 0.1483389 1.3855715 29.06062 0.1070598 0.9154773
Age_LMP -0.2374643 0.1673514 34.08723 -1.4189562 0.1649915
BMI_conception 0.0823597 0.1428450 30.58993 0.5765670 0.5684508
T1Dstatusyes 0.4023094 1.4248836 29.63223 0.2823454 0.7796414

5.1.12 DA analysis between women with and without T1D for species Bifidobacterium_longum Trimester T3

Estimate Std. Error df t value Pr(>|t|)
(Intercept) 5.9481302 4.5438152 64.32013 1.3090607 0.1951713
HLA.6DRMLDRXX -0.9186324 1.4357646 58.79946 -0.6398210 0.5247742
HLA.6DRMLGroup3o4 0.4904926 1.0638501 57.36136 0.4610542 0.6465032
Nulliparous1 -2.3557823 0.8879626 59.95586 -2.6530198 0.0101959
Age_LMP -0.2041414 0.1043956 62.78121 -1.9554593 0.0549832
BMI_conception 0.0736844 0.0951011 61.85753 0.7748007 0.4414092
T1Dstatusyes -0.0469293 0.8854144 55.89832 -0.0530026 0.9579188

6 Functional analysis

6.1 DA Functions (T1D vs. non-T1D) statistics

Trimester Taxa TaxLevel LogFC P.Val adj.P.Val NT1DPrev T1DPrev
1 All PWY-5850: superpathway of menaquinol-6 biosynthesis I Pathways -4.3274720 0.00000 0.000 25.758 54.412
2 All PWY-5845: superpathway of menaquinol-9 biosynthesis Pathways -4.3274720 0.00000 0.000 25.758 54.412
3 All PWY-5896: superpathway of menaquinol-10 biosynthesis Pathways -4.3274720 0.00000 0.000 25.758 54.412
4 All PWY-5860: superpathway of demethylmenaquinol-6 biosynthesis I Pathways -4.0382826 0.00000 0.000 25.758 54.412
5 All PWY-5862: superpathway of demethylmenaquinol-9 biosynthesis Pathways -4.0382826 0.00000 0.000 25.758 54.412
6 All PWY-5838: superpathway of menaquinol-8 biosynthesis I Pathways -3.7032621 0.00004 0.002 39.394 61.765
7 All ARGORNPROST-PWY: arginine, ornithine and proline interconversion Pathways -3.6808181 0.00021 0.004 46.970 70.588
8 All PWY-6630: superpathway of L-tyrosine biosynthesis Pathways -3.6799595 0.00032 0.005 42.424 76.471
9 All PWY-5861: superpathway of demethylmenaquinol-8 biosynthesis Pathways -3.5073475 0.00004 0.002 39.394 61.765
10 All PWY-7204: pyridoxal 5-phosphate salvage II (plants) Pathways -3.4040248 0.00103 0.014 45.455 67.647
11 All ENTBACSYN-PWY: enterobactin biosynthesis Pathways -3.3156126 0.00671 0.048 33.333 58.824
15 All GLYOXYLATE-BYPASS: glyoxylate cycle Pathways -2.6968686 0.00053 0.008 69.697 85.294
18 All PWY-5723: Rubisco shunt Pathways -2.5953717 0.00683 0.048 54.545 64.706
19 All GLUCOSE1PMETAB-PWY: glucose and glucose-1-phosphate degradation Pathways -2.0867384 0.00532 0.040 77.273 85.294
22 All PWY-1269: CMP-3-deoxy-D-manno-octulosonate biosynthesis I Pathways -0.6011494 0.00013 0.003 100.000 100.000
23 All HISDEG-PWY: L-histidine degradation I Pathways -0.5840569 0.00483 0.040 100.000 100.000
24 All PWY-5030: L-histidine degradation III Pathways -0.5197936 0.00506 0.040 100.000 100.000
25 All PYRIDOXSYN-PWY: pyridoxal 5-phosphate biosynthesis I Pathways -0.5181317 0.00028 0.005 100.000 100.000
26 All RIBOSYN2-PWY: flavin biosynthesis I (bacteria and plants) Pathways -0.5096651 0.00368 0.036 100.000 100.000
27 All GLUCUROCAT-PWY: superpathway of β-D-glucuronide and D-glucuronate degradation Pathways 0.5205751 0.00154 0.017 100.000 100.000
28 All PWY-7242: D-fructuronate degradation Pathways 0.5892168 0.00125 0.015 100.000 100.000
29 All COBALSYN-PWY: adenosylcobalamin salvage from cobinamide I Pathways 0.5914886 0.00005 0.002 100.000 100.000
30 All PWY-621: sucrose degradation III (sucrose invertase) Pathways 0.6203816 0.00015 0.003 100.000 100.000
31 All GLYCOGENSYNTH-PWY: glycogen biosynthesis I (from ADP-D-Glucose) Pathways 0.6224797 0.00148 0.017 100.000 100.000
32 All PWY-6507: 4-deoxy-L-threo-hex-4-enopyranuronate degradation Pathways 0.6437398 0.00389 0.036 100.000 100.000
33 All PWY-5177: glutaryl-CoA degradation Pathways 0.7330004 0.00046 0.007 100.000 100.000
35 All PWY-5367: petroselinate biosynthesis Pathways 1.2484798 0.00066 0.009 98.485 95.588
80 T2 PWY-6630: superpathway of L-tyrosine biosynthesis Pathways -4.6041053 0.00031 0.008 47.619 86.364
81 T2 PWY-5838: superpathway of menaquinol-8 biosynthesis I Pathways -3.8408137 0.00051 0.011 47.619 59.091
82 T2 PWY-5861: superpathway of demethylmenaquinol-8 biosynthesis Pathways -3.6818181 0.00050 0.011 47.619 59.091
87 T2 GLYOXYLATE-BYPASS: glyoxylate cycle Pathways -3.0736449 0.00186 0.026 66.667 86.364
95 T2 PWY-1269: CMP-3-deoxy-D-manno-octulosonate biosynthesis I Pathways -0.5504211 0.00438 0.047 100.000 100.000
97 T2 PWY-7220: adenosine deoxyribonucleotides de novo biosynthesis II Pathways -0.5173675 0.00120 0.018 100.000 100.000
98 T2 PWY-7222: guanosine deoxyribonucleotides de novo biosynthesis II Pathways -0.5173675 0.00120 0.018 100.000 100.000
100 T2 PYRIDOXSYN-PWY: pyridoxal 5-phosphate biosynthesis I Pathways -0.5072258 0.00398 0.044 100.000 100.000
103 T2 COBALSYN-PWY: adenosylcobalamin salvage from cobinamide I Pathways 0.6380981 0.00031 0.008 100.000 100.000
104 T2 PWY-621: sucrose degradation III (sucrose invertase) Pathways 0.6758724 0.00067 0.014 100.000 100.000
106 T2 GLYCOGENSYNTH-PWY: glycogen biosynthesis I (from ADP-D-Glucose) Pathways 0.8260963 0.00084 0.016 100.000 100.000
107 T2 PWY-5367: petroselinate biosynthesis Pathways 1.5579729 0.00092 0.016 100.000 90.909
109 T2 LACTOSECAT-PWY: lactose and galactose degradation I Pathways 2.3091404 0.00123 0.018 100.000 81.818
110 T3 ARGORNPROST-PWY: arginine, ornithine and proline interconversion Pathways -3.7700552 0.00036 0.007 44.118 76.471
111 T3 PWY-5850: superpathway of menaquinol-6 biosynthesis I Pathways -3.5255061 0.00003 0.002 29.412 58.824
112 T3 PWY-5845: superpathway of menaquinol-9 biosynthesis Pathways -3.5255061 0.00003 0.002 29.412 58.824
113 T3 PWY-5896: superpathway of menaquinol-10 biosynthesis Pathways -3.5255061 0.00003 0.002 29.412 58.824
114 T3 PWY-5860: superpathway of demethylmenaquinol-6 biosynthesis I Pathways -3.2969614 0.00004 0.002 29.412 58.824
115 T3 PWY-5862: superpathway of demethylmenaquinol-9 biosynthesis Pathways -3.2969614 0.00004 0.002 29.412 58.824
116 T3 PWY-5838: superpathway of menaquinol-8 biosynthesis I Pathways -3.2801368 0.00029 0.007 35.294 64.706
117 T3 PWY-6630: superpathway of L-tyrosine biosynthesis Pathways -3.1895625 0.00299 0.035 38.235 73.529
118 T3 PWY-5861: superpathway of demethylmenaquinol-8 biosynthesis Pathways -3.1214582 0.00034 0.007 35.294 64.706
123 T3 PWY-6628: superpathway of L-phenylalanine biosynthesis Pathways -2.5178540 0.00474 0.043 70.588 91.176
126 T3 PWY-4984: urea cycle Pathways -0.6899347 0.00260 0.034 100.000 100.000
127 T3 PWY-1269: CMP-3-deoxy-D-manno-octulosonate biosynthesis I Pathways -0.6416191 0.00012 0.004 100.000 100.000
128 T3 PYRIDOXSYN-PWY: pyridoxal 5-phosphate biosynthesis I Pathways -0.6313960 0.00003 0.002 100.000 100.000
129 T3 PWY-5030: L-histidine degradation III Pathways -0.5951603 0.00264 0.034 100.000 100.000
130 T3 CITRULBIO-PWY: L-citrulline biosynthesis Pathways -0.5883922 0.00316 0.035 100.000 100.000
131 T3 GLUCUROCAT-PWY: superpathway of β-D-glucuronide and D-glucuronate degradation Pathways 0.5060045 0.00451 0.043 100.000 100.000
132 T3 PWY-7242: D-fructuronate degradation Pathways 0.5883901 0.00293 0.035 100.000 100.000
134 T3 PWY-5177: glutaryl-CoA degradation Pathways 0.6380200 0.00467 0.043 100.000 100.000
135 T3 PWY-621: sucrose degradation III (sucrose invertase) Pathways 0.6476328 0.00015 0.004 100.000 100.000
136 T3 P42-PWY: incomplete reductive TCA cycle Pathways 0.7315895 0.00115 0.022 100.000 100.000
139 T3 OANTIGEN-PWY: O-antigen building blocks biosynthesis (E. coli) Pathways 0.8143365 0.00153 0.027 100.000 100.000
140 T3 UDPNAGSYN-PWY: UDP-N-acetyl-D-glucosamine biosynthesis I Pathways 0.8710592 0.00243 0.034 100.000 100.000
141 T3 PWY-5367: petroselinate biosynthesis Pathways 1.0326315 0.00435 0.043 97.059 100.000
142 T3 PWY-5104: L-isoleucine biosynthesis IV Pathways 1.0712596 0.00015 0.004 100.000 100.000
143 All K02852 Kegg -2.3036477 0.00242 0.016 83.333 97.059
147 All K08678 Kegg -1.0096543 0.00176 0.014 98.485 100.000
148 All K03817 Kegg -0.9810283 0.00874 0.036 98.485 98.529
149 All K18139 Kegg -0.8651548 0.01213 0.044 98.485 100.000
151 All K00641 Kegg -0.8178889 0.00860 0.036 100.000 100.000
152 All K04564 Kegg -0.8075356 0.00246 0.016 100.000 100.000
153 All K01627 Kegg -0.7931858 0.00018 0.004 100.000 100.000
156 All K16053 Kegg -0.7808928 0.00188 0.014 100.000 100.000
157 All K04084 Kegg -0.7686261 0.00115 0.011 100.000 100.000
158 All K02067 Kegg -0.7683592 0.00609 0.029 100.000 100.000
159 All K06167 Kegg -0.7655651 0.00068 0.008 100.000 100.000
160 All K07386 Kegg -0.7497054 0.00281 0.018 100.000 100.000
161 All K02445 Kegg -0.7441491 0.00430 0.023 100.000 100.000
163 All K00556 Kegg -0.7253547 0.00721 0.032 100.000 100.000
164 All K13990 Kegg -0.7244585 0.00890 0.037 100.000 100.000
168 All K08325 Kegg -0.7014990 0.00185 0.014 100.000 100.000
169 All K11934 Kegg -0.7012949 0.00626 0.029 100.000 100.000
170 All K02517 Kegg -0.6984373 0.00831 0.035 100.000 100.000
173 All K01589 Kegg -0.6820484 0.01299 0.046 100.000 100.000
174 All K01966 Kegg -0.6817775 0.00140 0.012 100.000 100.000
175 All K09939 Kegg -0.6791697 0.00878 0.036 100.000 100.000
176 All K01130 Kegg -0.6645417 0.00592 0.028 100.000 100.000
177 All K01676 Kegg -0.6601287 0.01064 0.041 100.000 100.000
178 All K02014 Kegg -0.6525988 0.00001 0.002 100.000 100.000
179 All K15977 Kegg -0.6524739 0.00007 0.004 100.000 100.000
180 All K15923 Kegg -0.6491325 0.01097 0.042 100.000 100.000
181 All K03327 Kegg -0.6380296 0.00010 0.004 100.000 100.000
182 All K03590 Kegg -0.6336618 0.00187 0.014 100.000 100.000
183 All K06142 Kegg -0.6318240 0.00000 0.002 100.000 100.000
184 All K11065 Kegg -0.6309412 0.00066 0.008 100.000 100.000
185 All K01081 Kegg -0.6260307 0.00589 0.028 100.000 100.000
186 All K07091 Kegg -0.6238125 0.00008 0.004 100.000 100.000
187 All K03386 Kegg -0.6174362 0.00053 0.007 100.000 100.000
188 All K00432 Kegg -0.6151332 0.00164 0.013 100.000 100.000
189 All K06911 Kegg -0.6146792 0.00023 0.005 100.000 100.000
190 All K03771 Kegg -0.6104376 0.00000 0.002 100.000 100.000
191 All K01433 Kegg -0.6073902 0.01250 0.045 100.000 100.000
192 All K01991 Kegg -0.6010135 0.00071 0.008 100.000 100.000
193 All K00334 Kegg -0.5997727 0.00702 0.031 100.000 100.000
194 All K11741 Kegg -0.5962131 0.00368 0.021 100.000 100.000
195 All K16264 Kegg -0.5957881 0.01122 0.042 100.000 100.000
196 All K11537 Kegg -0.5942936 0.00247 0.016 100.000 100.000
197 All K00798 Kegg -0.5938964 0.00023 0.005 100.000 100.000
198 All K01667 Kegg -0.5936335 0.00545 0.027 100.000 100.000
199 All K00684 Kegg -0.5914683 0.01008 0.039 100.000 100.000
201 All K04762 Kegg -0.5855193 0.00043 0.007 100.000 100.000
203 All K04761 Kegg -0.5810381 0.01045 0.041 100.000 100.000
204 All K08218 Kegg -0.5779686 0.00030 0.005 100.000 100.000
206 All K04047 Kegg -0.5736545 0.01081 0.041 100.000 100.000
207 All K02426 Kegg -0.5697844 0.00153 0.013 100.000 100.000
209 All K07588 Kegg -0.5691556 0.01336 0.047 100.000 100.000
210 All K05807 Kegg -0.5675554 0.00025 0.005 100.000 100.000
211 All K05606 Kegg -0.5665293 0.00364 0.021 100.000 100.000
212 All K11720 Kegg -0.5657675 0.00009 0.004 100.000 100.000
213 All K08307 Kegg -0.5639006 0.00110 0.011 100.000 100.000
214 All K00818 Kegg -0.5554474 0.00269 0.017 100.000 100.000
215 All K03801 Kegg -0.5501402 0.00019 0.004 100.000 100.000
216 All K02523 Kegg -0.5478673 0.00100 0.010 100.000 100.000
219 All K03118 Kegg -0.5423332 0.00011 0.004 100.000 100.000
220 All K16089 Kegg -0.5350592 0.00121 0.011 100.000 100.000
222 All K00852 Kegg -0.5318372 0.00942 0.038 100.000 100.000
223 All K03733 Kegg -0.5297722 0.00002 0.003 100.000 100.000
224 All K07164 Kegg -0.5247715 0.00001 0.002 100.000 100.000
225 All K07078 Kegg -0.5234375 0.00201 0.014 100.000 100.000
227 All K01791 Kegg -0.5197392 0.00194 0.014 100.000 100.000
228 All K03832 Kegg -0.5155802 0.00007 0.004 100.000 100.000
230 All K00912 Kegg -0.5118179 0.00034 0.006 100.000 100.000
231 All K02429 Kegg -0.5097838 0.00435 0.023 100.000 100.000
232 All K01993 Kegg -0.5085989 0.00014 0.004 100.000 100.000
233 All K09922 Kegg -0.5067735 0.00417 0.023 100.000 100.000
235 All K03113 Kegg -0.5049499 0.00713 0.032 100.000 100.000
236 All K01787 Kegg -0.5042571 0.00442 0.023 100.000 100.000
238 All K03839 Kegg -0.5032750 0.00249 0.016 100.000 100.000
240 All K02026 Kegg 0.5000742 0.00318 0.019 100.000 100.000
241 All K07699 Kegg 0.5004302 0.00600 0.028 100.000 100.000
242 All K06438 Kegg 0.5007367 0.01393 0.049 100.000 100.000
243 All K01356 Kegg 0.5016130 0.00372 0.021 100.000 100.000
244 All K15582 Kegg 0.5018197 0.00936 0.038 100.000 100.000
247 All K01571 Kegg 0.5109167 0.00189 0.014 100.000 100.000
249 All K08884 Kegg 0.5169215 0.00163 0.013 100.000 100.000
250 All K04486 Kegg 0.5174270 0.00107 0.010 100.000 100.000
251 All K09762 Kegg 0.5232891 0.00400 0.022 100.000 100.000
252 All K07090 Kegg 0.5246964 0.00456 0.024 100.000 100.000
253 All K08384 Kegg 0.5272624 0.01456 0.050 100.000 100.000
254 All K09787 Kegg 0.5272761 0.00604 0.029 100.000 100.000
255 All K02237 Kegg 0.5278708 0.00926 0.038 100.000 100.000
256 All K03168 Kegg 0.5282375 0.00221 0.015 100.000 100.000
257 All K02647 Kegg 0.5304652 0.00077 0.009 100.000 100.000
258 All K01534 Kegg 0.5323923 0.00141 0.012 100.000 100.000
259 All K01963 Kegg 0.5324362 0.00433 0.023 100.000 100.000
260 All K00882 Kegg 0.5329846 0.00174 0.014 100.000 100.000
262 All K07718 Kegg 0.5374860 0.00959 0.038 100.000 100.000
263 All K01515 Kegg 0.5415326 0.00064 0.008 100.000 100.000
264 All K03719 Kegg 0.5416654 0.01180 0.043 100.000 100.000
265 All K07258 Kegg 0.5434168 0.00173 0.014 100.000 100.000
266 All K06960 Kegg 0.5434409 0.00073 0.008 100.000 100.000
267 All K06901 Kegg 0.5437948 0.00163 0.013 100.000 100.000
269 All K03630 Kegg 0.5447582 0.00010 0.004 100.000 100.000
271 All K07042 Kegg 0.5455186 0.00098 0.010 100.000 100.000
273 All K06387 Kegg 0.5459876 0.01155 0.043 100.000 100.000
274 All K02769 Kegg 0.5470202 0.01419 0.049 100.000 100.000
275 All K06923 Kegg 0.5475420 0.00070 0.008 100.000 100.000
276 All K06394 Kegg 0.5486465 0.00889 0.037 100.000 100.000
277 All K05832 Kegg 0.5514748 0.00750 0.033 100.000 100.000
278 All K07574 Kegg 0.5525461 0.00242 0.016 100.000 100.000
279 All K00878 Kegg 0.5533957 0.00459 0.024 100.000 100.000
280 All K06023 Kegg 0.5564540 0.00200 0.014 100.000 100.000
281 All K00048 Kegg 0.5568468 0.00005 0.003 100.000 100.000
282 All K02438 Kegg 0.5577309 0.00783 0.034 100.000 100.000
283 All K00620 Kegg 0.5582263 0.00017 0.004 100.000 100.000
284 All K03216 Kegg 0.5616953 0.00109 0.010 100.000 100.000
286 All K14540 Kegg 0.5627009 0.00126 0.011 100.000 100.000
287 All K03091 Kegg 0.5635915 0.00046 0.007 100.000 100.000
290 All K10117 Kegg 0.5667190 0.00156 0.013 100.000 100.000
291 All K10118 Kegg 0.5681898 0.00183 0.014 100.000 100.000
292 All K01995 Kegg 0.5684212 0.00974 0.039 100.000 100.000
293 All K01996 Kegg 0.5695824 0.00519 0.026 100.000 100.000
294 All K00975 Kegg 0.5701092 0.00021 0.005 100.000 100.000
295 All K00797 Kegg 0.5702687 0.00112 0.011 100.000 100.000
296 All K03070 Kegg 0.5708198 0.00672 0.030 100.000 100.000
297 All K04074 Kegg 0.5715935 0.01148 0.043 100.000 100.000
298 All K02824 Kegg 0.5718997 0.00133 0.012 100.000 100.000
299 All K10112 Kegg 0.5734582 0.00015 0.004 100.000 100.000
300 All K01962 Kegg 0.5753404 0.00152 0.013 100.000 100.000
301 All K10119 Kegg 0.5779474 0.00155 0.013 100.000 100.000
303 All K06393 Kegg 0.5811006 0.01114 0.042 100.000 100.000
304 All K01420 Kegg 0.5837557 0.01116 0.042 100.000 100.000
305 All K01677 Kegg 0.5838800 0.00040 0.006 100.000 100.000
306 All K07456 Kegg 0.5841302 0.00015 0.004 100.000 100.000
308 All K04487 Kegg 0.5863882 0.00006 0.004 100.000 100.000
309 All K07584 Kegg 0.5897647 0.00450 0.024 100.000 100.000
311 All K02072 Kegg 0.5934273 0.00675 0.030 100.000 100.000
312 All K02045 Kegg 0.5966784 0.00238 0.016 100.000 100.000
313 All K07141 Kegg 0.5977690 0.00670 0.030 100.000 100.000
314 All K06406 Kegg 0.5982278 0.00292 0.018 100.000 100.000
315 All K03705 Kegg 0.5998885 0.00099 0.010 100.000 100.000
317 All K06405 Kegg 0.6030028 0.00367 0.021 100.000 100.000
318 All K00805 Kegg 0.6040860 0.00298 0.018 100.000 100.000
319 All K03431 Kegg 0.6056354 0.00024 0.005 100.000 100.000
320 All K01338 Kegg 0.6059914 0.00032 0.005 100.000 100.000
321 All K06382 Kegg 0.6061538 0.00087 0.009 100.000 100.000
322 All K01421 Kegg 0.6102482 0.00055 0.007 100.000 100.000
323 All K11145 Kegg 0.6106971 0.00032 0.005 100.000 100.000
324 All K03523 Kegg 0.6117896 0.00018 0.004 100.000 100.000
325 All K06024 Kegg 0.6119961 0.00039 0.006 100.000 100.000
326 All K06213 Kegg 0.6135489 0.00009 0.004 100.000 100.000
327 All K07742 Kegg 0.6136783 0.00251 0.016 100.000 100.000
328 All K06919 Kegg 0.6150715 0.00441 0.023 100.000 100.000
330 All K03660 Kegg 0.6174244 0.00501 0.025 100.000 100.000
331 All K02057 Kegg 0.6195756 0.00381 0.022 100.000 100.000
333 All K01839 Kegg 0.6310508 0.00149 0.013 100.000 100.000
334 All K03151 Kegg 0.6319383 0.00011 0.004 100.000 100.000
335 All K04488 Kegg 0.6347702 0.00014 0.004 100.000 100.000
336 All K07080 Kegg 0.6388090 0.00950 0.038 100.000 100.000
337 All K02046 Kegg 0.6391444 0.00137 0.012 100.000 100.000
338 All K00821 Kegg 0.6408992 0.00020 0.005 100.000 100.000
339 All K01998 Kegg 0.6422159 0.00475 0.024 100.000 100.000
340 All K18369 Kegg 0.6429189 0.00754 0.033 100.000 100.000
341 All K07030 Kegg 0.6462684 0.00277 0.018 100.000 100.000
342 All K03518 Kegg 0.6478636 0.00375 0.021 100.000 100.000
343 All K07720 Kegg 0.6498774 0.00199 0.014 100.000 100.000
344 All K02017 Kegg 0.6513821 0.00072 0.008 100.000 100.000
345 All K01997 Kegg 0.6536147 0.00419 0.023 100.000 100.000
346 All K06407 Kegg 0.6551517 0.00048 0.007 100.000 100.000
348 All K04070 Kegg 0.6597885 0.00067 0.008 100.000 100.000
349 All K03763 Kegg 0.6630818 0.00423 0.023 100.000 100.000
350 All K00375 Kegg 0.6649005 0.00022 0.005 100.000 100.000
351 All K03784 Kegg 0.6784816 0.00493 0.025 100.000 100.000
352 All K06346 Kegg 0.6794893 0.00032 0.005 100.000 100.000
353 All K18349 Kegg 0.6799149 0.00494 0.025 100.000 100.000
354 All K10823 Kegg 0.6807897 0.00128 0.012 100.000 100.000
356 All K01874 Kegg 0.6839850 0.00004 0.003 100.000 100.000
357 All K15771 Kegg 0.6872490 0.00068 0.008 100.000 100.000
358 All K06399 Kegg 0.6926388 0.00226 0.016 100.000 100.000
359 All K06200 Kegg 0.6933556 0.00008 0.004 100.000 100.000
360 All K11358 Kegg 0.6943680 0.00012 0.004 100.000 100.000
361 All K01715 Kegg 0.6963534 0.00010 0.004 100.000 100.000
362 All K06403 Kegg 0.6964092 0.00385 0.022 100.000 100.000
363 All K09157 Kegg 0.7031272 0.00001 0.002 100.000 100.000
364 All K02018 Kegg 0.7046048 0.00039 0.006 100.000 100.000
366 All K02020 Kegg 0.7072457 0.00523 0.026 100.000 100.000
367 All K06409 Kegg 0.7077924 0.00103 0.010 100.000 100.000
368 All K02047 Kegg 0.7097735 0.00044 0.007 100.000 100.000
369 All K00074 Kegg 0.7106639 0.00002 0.003 100.000 100.000
370 All K06390 Kegg 0.7139596 0.00018 0.004 100.000 100.000
372 All K07015 Kegg 0.7160382 0.00030 0.005 100.000 100.000
373 All K06209 Kegg 0.7175219 0.00234 0.016 100.000 100.000
374 All K05833 Kegg 0.7184537 0.00015 0.004 100.000 100.000
375 All K01198 Kegg 0.7196153 0.00144 0.012 100.000 100.000
376 All K02764 Kegg 0.7196206 0.00098 0.010 100.000 100.000
377 All K02763 Kegg 0.7196206 0.00098 0.010 100.000 100.000
378 All K02765 Kegg 0.7196206 0.00098 0.010 100.000 100.000
379 All K16511 Kegg 0.7201624 0.00299 0.018 100.000 100.000
380 All K03637 Kegg 0.7246985 0.00052 0.007 100.000 100.000
382 All K03639 Kegg 0.7309174 0.00027 0.005 100.000 100.000
383 All K01193 Kegg 0.7312329 0.00010 0.004 100.000 100.000
385 All K01625 Kegg 0.7346447 0.00181 0.014 100.000 100.000
386 All K01008 Kegg 0.7347430 0.00033 0.006 100.000 100.000
387 All K06042 Kegg 0.7350872 0.00079 0.009 100.000 100.000
388 All K01989 Kegg 0.7354853 0.00013 0.004 100.000 100.000
389 All K06379 Kegg 0.7356969 0.00024 0.005 100.000 100.000
390 All K04794 Kegg 0.7424776 0.00987 0.039 100.000 100.000
391 All K06215 Kegg 0.7428312 0.00004 0.003 100.000 100.000
392 All K04771 Kegg 0.7441465 0.00011 0.004 100.000 100.000
396 All K07402 Kegg 0.7515949 0.00020 0.005 100.000 100.000
397 All K06392 Kegg 0.7544058 0.00138 0.012 100.000 100.000
398 All K10192 Kegg 0.7556741 0.00814 0.035 100.000 98.529
399 All K15583 Kegg 0.7582413 0.00035 0.006 100.000 100.000
400 All K03465 Kegg 0.7634314 0.00055 0.007 100.000 100.000
401 All K00626 Kegg 0.7697679 0.00004 0.003 100.000 100.000
402 All K06385 Kegg 0.7717038 0.00036 0.006 100.000 100.000
404 All K15772 Kegg 0.7747444 0.00009 0.004 100.000 100.000
405 All K19309 Kegg 0.7795202 0.00087 0.009 100.000 100.000
407 All K00394 Kegg 0.7846815 0.00023 0.005 100.000 100.000
408 All K16789 Kegg 0.7891701 0.01070 0.041 100.000 100.000
409 All K02189 Kegg 0.8010127 0.00085 0.009 100.000 100.000
410 All K11104 Kegg 0.8050040 0.00071 0.008 100.000 100.000
411 All K07105 Kegg 0.8066920 0.00024 0.005 100.000 100.000
412 All K02392 Kegg 0.8081699 0.00501 0.025 100.000 100.000
414 All K10542 Kegg 0.8142203 0.00006 0.004 100.000 100.000
415 All K01267 Kegg 0.8215418 0.00008 0.004 100.000 100.000
416 All K05934 Kegg 0.8225059 0.00005 0.004 100.000 100.000
417 All K01788 Kegg 0.8321350 0.00201 0.014 100.000 100.000
418 All K06012 Kegg 0.8365577 0.00015 0.004 100.000 100.000
419 All K17320 Kegg 0.8383475 0.00008 0.004 100.000 100.000
420 All K18475 Kegg 0.8410413 0.00149 0.013 100.000 100.000
421 All K03406 Kegg 0.8423580 0.00451 0.024 100.000 100.000
422 All K07183 Kegg 0.8424662 0.00079 0.009 100.000 100.000
423 All K04094 Kegg 0.8430267 0.00464 0.024 100.000 100.000
424 All K05936 Kegg 0.8488676 0.00001 0.002 100.000 100.000
425 All K17318 Kegg 0.8502283 0.00007 0.004 100.000 100.000
426 All K11690 Kegg 0.8537834 0.00034 0.006 100.000 100.000
427 All K10009 Kegg 0.8609608 0.00318 0.019 100.000 100.000
428 All K06902 Kegg 0.8619041 0.00021 0.005 100.000 100.000
429 All K02804 Kegg 0.8656838 0.00007 0.004 100.000 100.000
430 All K02803 Kegg 0.8657022 0.00007 0.004 100.000 100.000
432 All K07284 Kegg 0.8828459 0.00010 0.004 100.000 100.000
433 All K07099 Kegg 0.8898967 0.01074 0.041 100.000 100.000
434 All K02283 Kegg 0.8906304 0.00012 0.004 100.000 100.000
435 All K06381 Kegg 0.8920939 0.00114 0.011 100.000 100.000
436 All K17319 Kegg 0.8978066 0.00003 0.003 100.000 100.000
437 All K05341 Kegg 0.9038273 0.00092 0.010 100.000 100.000
438 All K03700 Kegg 0.9079052 0.00075 0.009 100.000 100.000
439 All K00040 Kegg 0.9142505 0.00026 0.005 100.000 100.000
440 All K16328 Kegg 0.9236406 0.00582 0.028 100.000 100.000
441 All K10193 Kegg 0.9238931 0.00315 0.019 100.000 100.000
442 All K02103 Kegg 0.9333352 0.00526 0.026 100.000 100.000
443 All K10194 Kegg 0.9631494 0.00219 0.015 100.000 98.529
444 All K10540 Kegg 0.9707107 0.00001 0.002 100.000 100.000
445 All K10202 Kegg 0.9832886 0.00003 0.003 100.000 100.000
446 All K18640 Kegg 1.0004757 0.00025 0.005 100.000 100.000
447 All K10201 Kegg 1.0123768 0.00003 0.003 100.000 100.000
448 All K03856 Kegg 1.0141622 0.00019 0.004 100.000 100.000
449 All K06378 Kegg 1.0254380 0.00000 0.002 100.000 100.000
450 All K13052 Kegg 1.0356457 0.00061 0.008 100.000 98.529
451 All K07813 Kegg 1.0503307 0.00007 0.004 100.000 100.000
452 All K09163 Kegg 1.0525156 0.00210 0.015 100.000 100.000
453 All K07216 Kegg 1.0616113 0.00104 0.010 100.000 98.529
454 All K10200 Kegg 1.0623451 0.00048 0.007 100.000 100.000
455 All K02406 Kegg 1.1098401 0.00012 0.004 100.000 100.000
456 All K06411 Kegg 1.1318682 0.00000 0.002 100.000 100.000
457 All K19310 Kegg 1.1319973 0.00002 0.002 100.000 100.000
458 All K06283 Kegg 1.2219929 0.00019 0.004 100.000 100.000
463 T1 K08678 Kegg -1.5315993 0.00070 0.032 100.000 100.000
464 T1 K00641 Kegg -1.5137816 0.00065 0.032 100.000 100.000
466 T1 K12339 Kegg -1.4828648 0.00102 0.035 100.000 100.000
467 T1 K18139 Kegg -1.4547251 0.00291 0.046 100.000 100.000
468 T1 K13990 Kegg -1.3817322 0.00061 0.031 100.000 100.000
469 T1 K09793 Kegg -1.3792978 0.00284 0.046 100.000 100.000
471 T1 K12140 Kegg -1.3680910 0.00384 0.050 100.000 100.000
472 T1 K01847 Kegg -1.3346499 0.00301 0.046 100.000 100.000
473 T1 K00029 Kegg -1.3126251 0.00222 0.045 100.000 100.000
474 T1 K01676 Kegg -1.3117144 0.00048 0.027 100.000 100.000
475 T1 K03270 Kegg -1.3047471 0.00089 0.033 100.000 100.000
478 T1 K03390 Kegg -1.2507790 0.00267 0.046 100.000 100.000
479 T1 K04564 Kegg -1.2426399 0.00122 0.038 100.000 100.000
481 T1 K03389 Kegg -1.2003961 0.00084 0.032 100.000 100.000
482 T1 K16053 Kegg -1.1750764 0.00105 0.035 100.000 100.000
483 T1 K06076 Kegg -1.1705325 0.00358 0.049 100.000 100.000
484 T1 K07588 Kegg -1.1534608 0.00059 0.031 100.000 100.000
485 T1 K01589 Kegg -1.1507632 0.00314 0.046 100.000 100.000
486 T1 K02445 Kegg -1.1415997 0.00229 0.045 100.000 100.000
487 T1 K06167 Kegg -1.1304639 0.00048 0.027 100.000 100.000
488 T1 K01627 Kegg -1.1263739 0.00025 0.027 100.000 100.000
489 T1 K07386 Kegg -1.1144053 0.00208 0.045 100.000 100.000
490 T1 K02517 Kegg -1.1116440 0.00326 0.047 100.000 100.000
493 T1 K00639 Kegg -1.0537262 0.00312 0.046 100.000 100.000
494 T1 K01667 Kegg -1.0445587 0.00069 0.032 100.000 100.000
495 T1 K04084 Kegg -1.0258946 0.00278 0.046 100.000 100.000
496 T1 K04761 Kegg -1.0161857 0.00185 0.045 100.000 100.000
498 T1 K08325 Kegg -1.0047377 0.00216 0.045 100.000 100.000
499 T1 K02426 Kegg -0.9739612 0.00019 0.027 100.000 100.000
505 T1 K09922 Kegg -0.9135504 0.00080 0.032 100.000 100.000
506 T1 K11741 Kegg -0.9119721 0.00246 0.045 100.000 100.000
507 T1 K08301 Kegg -0.9119208 0.00027 0.027 100.000 100.000
508 T1 K05606 Kegg -0.9018138 0.00170 0.042 100.000 100.000
513 T1 K06041 Kegg -0.8614323 0.00072 0.032 100.000 100.000
515 T1 K03386 Kegg -0.8479454 0.00107 0.035 100.000 100.000
516 T1 K00818 Kegg -0.8442658 0.00153 0.042 100.000 100.000
517 T1 K11537 Kegg -0.8378150 0.00298 0.046 100.000 100.000
518 T1 K07107 Kegg -0.8315846 0.00029 0.027 100.000 100.000
519 T1 K02523 Kegg -0.7959868 0.00108 0.035 100.000 100.000
521 T1 K06518 Kegg -0.7736922 0.00387 0.050 100.000 100.000
522 T1 K06142 Kegg -0.7624948 0.00015 0.027 100.000 100.000
525 T1 K15977 Kegg -0.7372241 0.00239 0.045 100.000 100.000
527 T1 K03327 Kegg -0.7168824 0.00234 0.045 100.000 100.000
529 T1 K11720 Kegg -0.7007735 0.00078 0.032 100.000 100.000
531 T1 K04075 Kegg -0.6939068 0.00039 0.027 100.000 100.000
534 T1 K07091 Kegg -0.6850058 0.00274 0.046 100.000 100.000
535 T1 K02897 Kegg -0.6755160 0.00033 0.027 100.000 100.000
537 T1 K02014 Kegg -0.6723862 0.00130 0.039 100.000 100.000
539 T1 K03284 Kegg -0.6661038 0.00001 0.017 100.000 100.000
540 T1 K01533 Kegg -0.6546521 0.00334 0.047 100.000 100.000
542 T1 K07164 Kegg -0.6452597 0.00035 0.027 100.000 100.000
545 T1 K00330 Kegg -0.6235517 0.00130 0.039 100.000 100.000
546 T1 K00912 Kegg -0.6223825 0.00245 0.045 100.000 100.000
547 T1 K02437 Kegg -0.6219110 0.00039 0.027 100.000 100.000
550 T1 K03076 Kegg -0.6122731 0.00027 0.027 100.000 100.000
551 T1 K00793 Kegg -0.6086773 0.00003 0.020 100.000 100.000
552 T1 K01918 Kegg -0.5955617 0.00005 0.020 100.000 100.000
556 T1 K03575 Kegg -0.5838099 0.00112 0.036 100.000 100.000
561 T1 K01950 Kegg -0.5716831 0.00235 0.045 100.000 100.000
566 T1 K03771 Kegg -0.5599778 0.00348 0.049 100.000 100.000
568 T1 K04763 Kegg -0.5364220 0.00199 0.045 100.000 100.000
569 T1 K01744 Kegg -0.5316043 0.00308 0.046 100.000 100.000
571 T1 K02340 Kegg -0.5234030 0.00123 0.038 100.000 100.000
572 T1 K02916 Kegg -0.5215141 0.00327 0.047 100.000 100.000
601 T1 K01687 Kegg 0.5589080 0.00014 0.027 100.000 100.000
603 T1 K00046 Kegg 0.5668022 0.00078 0.032 100.000 100.000
631 T1 K03151 Kegg 0.6699020 0.00378 0.050 100.000 100.000
633 T1 K06213 Kegg 0.6750026 0.00297 0.046 100.000 100.000
635 T1 K07456 Kegg 0.6959802 0.00167 0.042 100.000 100.000
646 T1 K00821 Kegg 0.7193166 0.00375 0.050 100.000 100.000
647 T1 K03630 Kegg 0.7196493 0.00044 0.027 100.000 100.000
648 T1 K00048 Kegg 0.7207976 0.00031 0.027 100.000 100.000
655 T1 K01677 Kegg 0.7483562 0.00164 0.042 100.000 100.000
666 T1 K00074 Kegg 0.8051912 0.00082 0.032 100.000 100.000
674 T1 K09157 Kegg 0.8610595 0.00018 0.027 100.000 100.000
678 T1 K07015 Kegg 0.8804345 0.00219 0.045 100.000 100.000
680 T1 K15772 Kegg 0.8872870 0.00165 0.042 100.000 100.000
683 T1 K17318 Kegg 0.8987316 0.00389 0.050 100.000 100.000
686 T1 K06385 Kegg 0.9064989 0.00373 0.050 100.000 100.000
687 T1 K10540 Kegg 0.9145393 0.00285 0.046 100.000 100.000
688 T1 K02804 Kegg 0.9591682 0.00224 0.045 100.000 100.000
689 T1 K02803 Kegg 0.9592357 0.00223 0.045 100.000 100.000
690 T1 K06012 Kegg 0.9634597 0.00258 0.045 100.000 100.000
693 T1 K07284 Kegg 0.9748534 0.00247 0.045 100.000 100.000
695 T1 K07105 Kegg 0.9819260 0.00255 0.045 100.000 100.000
698 T1 K06411 Kegg 1.0506892 0.00256 0.045 100.000 100.000
702 T1 K03784 Kegg 1.1165334 0.00155 0.042 100.000 100.000
705 T1 K06378 Kegg 1.1859233 0.00038 0.027 100.000 100.000
706 T1 K06381 Kegg 1.1860982 0.00261 0.045 100.000 100.000
709 T1 K07813 Kegg 1.2297056 0.00149 0.042 100.000 100.000
710 T1 K04794 Kegg 1.2346963 0.00387 0.050 100.000 100.000
711 T1 K10009 Kegg 1.2351346 0.00310 0.046 100.000 100.000
713 T1 K10202 Kegg 1.2441633 0.00040 0.027 100.000 100.000
714 T1 K05341 Kegg 1.2493826 0.00205 0.045 100.000 100.000
715 T1 K01788 Kegg 1.2610427 0.00136 0.039 100.000 100.000
717 T1 K04094 Kegg 1.2889193 0.00225 0.045 100.000 100.000
721 T1 K19310 Kegg 1.3272275 0.00088 0.033 100.000 100.000
722 T1 K10194 Kegg 1.3408335 0.00298 0.046 100.000 100.000
724 T1 K10201 Kegg 1.3929365 0.00014 0.027 100.000 100.000
725 T1 K03856 Kegg 1.4453444 0.00028 0.027 100.000 100.000
726 T1 K10200 Kegg 1.5763931 0.00046 0.027 100.000 100.000
727 T2 K02852 Kegg -2.3993305 0.00589 0.032 100.000 95.455
731 T2 K02067 Kegg -0.9397466 0.00503 0.029 100.000 100.000
732 T2 K11934 Kegg -0.9313776 0.00165 0.016 100.000 100.000
733 T2 K01130 Kegg -0.9296581 0.00125 0.015 100.000 100.000
734 T2 K08641 Kegg -0.8858754 0.01054 0.045 100.000 100.000
736 T2 K06079 Kegg -0.8406359 0.00479 0.028 100.000 100.000
738 T2 K01966 Kegg -0.8034476 0.00143 0.016 100.000 100.000
739 T2 K01730 Kegg -0.7975167 0.00649 0.033 100.000 100.000
740 T2 K00334 Kegg -0.7911297 0.00230 0.021 100.000 100.000
741 T2 K07735 Kegg -0.7806404 0.00078 0.013 100.000 100.000
742 T2 K01081 Kegg -0.7783117 0.00334 0.023 100.000 100.000
743 T2 K00647 Kegg -0.7711805 0.00657 0.033 100.000 100.000
744 T2 K02002 Kegg -0.7553434 0.01059 0.045 100.000 100.000
745 T2 K03590 Kegg -0.7526997 0.00176 0.017 100.000 100.000
747 T2 K01057 Kegg -0.7369860 0.00247 0.021 100.000 100.000
748 T2 K07322 Kegg -0.7362949 0.00271 0.021 100.000 100.000
749 T2 K00684 Kegg -0.7315358 0.00635 0.033 100.000 100.000
750 T2 K08307 Kegg -0.7259167 0.00035 0.010 100.000 100.000
751 T2 K08218 Kegg -0.7210567 0.00012 0.007 100.000 100.000
752 T2 K01787 Kegg -0.7206605 0.00059 0.013 100.000 100.000
756 T2 K01791 Kegg -0.7099583 0.00034 0.010 100.000 100.000
757 T2 K01433 Kegg -0.7055612 0.01065 0.045 100.000 100.000
758 T2 K02014 Kegg -0.7039645 0.00004 0.007 100.000 100.000
759 T2 K15460 Kegg -0.7008741 0.00102 0.014 100.000 100.000
760 T2 K00852 Kegg -0.6998600 0.00340 0.023 100.000 100.000
761 T2 K16089 Kegg -0.6972013 0.00031 0.010 100.000 100.000
762 T2 K00343 Kegg -0.6945763 0.00040 0.010 100.000 100.000
764 T2 K09808 Kegg -0.6917465 0.00218 0.020 100.000 100.000
766 T2 K04047 Kegg -0.6900385 0.00823 0.038 100.000 100.000
767 T2 K01447 Kegg -0.6864703 0.01042 0.045 100.000 100.000
768 T2 K01935 Kegg -0.6857010 0.00256 0.021 100.000 100.000
769 T2 K07405 Kegg -0.6853435 0.00431 0.026 100.000 100.000
770 T2 K01805 Kegg -0.6767627 0.00035 0.010 100.000 100.000
771 T2 K00432 Kegg -0.6712466 0.00264 0.021 100.000 100.000
772 T2 K02429 Kegg -0.6704140 0.00135 0.016 100.000 100.000
773 T2 K00798 Kegg -0.6691315 0.00041 0.010 100.000 100.000
774 T2 K05801 Kegg -0.6683570 0.01127 0.046 100.000 100.000
778 T2 K00033 Kegg -0.6624260 0.00278 0.021 100.000 100.000
779 T2 K03387 Kegg -0.6616604 0.00337 0.023 100.000 100.000
780 T2 K12340 Kegg -0.6614572 0.00244 0.021 100.000 100.000
781 T2 K03801 Kegg -0.6610133 0.00015 0.008 100.000 100.000
782 T2 K01627 Kegg -0.6573824 0.00788 0.037 100.000 100.000
784 T2 K01993 Kegg -0.6510989 0.00004 0.007 100.000 100.000
786 T2 K03118 Kegg -0.6451473 0.00011 0.007 100.000 100.000
789 T2 K03315 Kegg -0.6400484 0.00006 0.007 100.000 100.000
790 T2 K18691 Kegg -0.6382647 0.00032 0.010 100.000 100.000
791 T2 K03327 Kegg -0.6367702 0.00095 0.014 100.000 100.000
792 T2 K02065 Kegg -0.6341134 0.00271 0.021 100.000 100.000
793 T2 K01991 Kegg -0.6339699 0.00242 0.021 100.000 100.000
796 T2 K11065 Kegg -0.6295457 0.00380 0.024 100.000 100.000
797 T2 K00929 Kegg -0.6290809 0.00064 0.013 100.000 100.000
799 T2 K12343 Kegg -0.6239241 0.00093 0.014 100.000 100.000
800 T2 K07091 Kegg -0.6218119 0.00083 0.013 100.000 100.000
801 T2 K06911 Kegg -0.6179147 0.00143 0.016 100.000 100.000
803 T2 K05807 Kegg -0.6095551 0.00063 0.013 100.000 100.000
804 T2 K03534 Kegg -0.6079024 0.00812 0.038 100.000 100.000
805 T2 K01092 Kegg -0.6076377 0.00022 0.009 100.000 100.000
806 T2 K01206 Kegg -0.6029130 0.00243 0.021 100.000 100.000
807 T2 K02856 Kegg -0.6023651 0.00824 0.038 100.000 100.000
809 T2 K00036 Kegg -0.6007810 0.00337 0.023 100.000 100.000
810 T2 K03733 Kegg -0.5996992 0.00004 0.007 100.000 100.000
813 T2 K02548 Kegg -0.5959911 0.00151 0.016 100.000 100.000
814 T2 K06113 Kegg -0.5944677 0.00948 0.042 100.000 100.000
815 T2 K06177 Kegg -0.5935277 0.01178 0.047 100.000 100.000
816 T2 K03473 Kegg -0.5919483 0.00245 0.021 100.000 100.000
817 T2 K01089 Kegg -0.5911935 0.00911 0.040 100.000 100.000
818 T2 K01468 Kegg -0.5898268 0.00109 0.014 100.000 100.000
821 T2 K11527 Kegg -0.5879302 0.00561 0.031 100.000 100.000
822 T2 K03386 Kegg -0.5850990 0.00512 0.029 100.000 100.000
823 T2 K10716 Kegg -0.5769936 0.00612 0.032 100.000 100.000
824 T2 K03092 Kegg -0.5723484 0.00564 0.031 100.000 100.000
827 T2 K03559 Kegg -0.5700520 0.00237 0.021 100.000 100.000
829 T2 K00782 Kegg -0.5685926 0.01230 0.048 100.000 100.000
830 T2 K15977 Kegg -0.5682732 0.00282 0.021 100.000 100.000
831 T2 K00940 Kegg -0.5674278 0.00421 0.026 100.000 100.000
832 T2 K06142 Kegg -0.5674024 0.00032 0.010 100.000 100.000
834 T2 K00912 Kegg -0.5620981 0.00084 0.013 100.000 100.000
835 T2 K04773 Kegg -0.5587093 0.00100 0.014 100.000 100.000
837 T2 K00748 Kegg -0.5524782 0.00781 0.037 100.000 100.000
838 T2 K00426 Kegg -0.5523614 0.00144 0.016 100.000 100.000
839 T2 K03832 Kegg -0.5499875 0.00028 0.010 100.000 100.000
841 T2 K03771 Kegg -0.5468258 0.00039 0.010 100.000 100.000
842 T2 K03587 Kegg -0.5381733 0.00912 0.040 100.000 100.000
843 T2 K04762 Kegg -0.5336342 0.00575 0.032 100.000 100.000
844 T2 K03839 Kegg -0.5314018 0.00637 0.033 100.000 100.000
845 T2 K11720 Kegg -0.5302079 0.00160 0.016 100.000 100.000
847 T2 K02775 Kegg -0.5240857 0.00854 0.039 100.000 100.000
848 T2 K00259 Kegg -0.5224999 0.00738 0.036 100.000 100.000
850 T2 K07079 Kegg -0.5215138 0.00128 0.015 100.000 100.000
851 T2 K03585 Kegg -0.5194725 0.00046 0.011 100.000 100.000
854 T2 K00526 Kegg -0.5169804 0.00775 0.037 100.000 100.000
856 T2 K02536 Kegg -0.5142355 0.00007 0.007 100.000 100.000
857 T2 K01745 Kegg -0.5141374 0.00069 0.013 100.000 100.000
858 T2 K03787 Kegg -0.5122953 0.00644 0.033 100.000 100.000
861 T2 K13993 Kegg -0.5114353 0.00084 0.013 100.000 100.000
862 T2 K03644 Kegg -0.5085550 0.00092 0.014 100.000 100.000
863 T2 K00425 Kegg -0.5083920 0.00633 0.033 100.000 100.000
864 T2 K07164 Kegg -0.5067557 0.00027 0.010 100.000 100.000
865 T2 K00340 Kegg -0.5051817 0.00177 0.017 100.000 100.000
866 T2 K00338 Kegg -0.5040501 0.00335 0.023 100.000 100.000
867 T2 K00979 Kegg -0.5015567 0.00328 0.023 100.000 100.000
868 T2 K06950 Kegg -0.5009649 0.00106 0.014 100.000 100.000
869 T2 K04083 Kegg 0.5006708 0.00877 0.039 100.000 100.000
870 T2 K03292 Kegg 0.5047191 0.00387 0.025 100.000 100.000
871 T2 K07040 Kegg 0.5058536 0.01095 0.045 100.000 100.000
872 T2 K07003 Kegg 0.5072937 0.01057 0.045 100.000 100.000
873 T2 K06901 Kegg 0.5073511 0.01182 0.047 100.000 100.000
874 T2 K15634 Kegg 0.5078299 0.01232 0.048 100.000 100.000
875 T2 K00995 Kegg 0.5086451 0.00247 0.021 100.000 100.000
876 T2 K04758 Kegg 0.5086735 0.00975 0.043 100.000 100.000
878 T2 K04486 Kegg 0.5090566 0.00537 0.030 100.000 100.000
881 T2 K10439 Kegg 0.5225847 0.00719 0.036 100.000 100.000
882 T2 K07088 Kegg 0.5264793 0.00430 0.026 100.000 100.000
883 T2 K01677 Kegg 0.5269854 0.00600 0.032 100.000 100.000
884 T2 K01356 Kegg 0.5314326 0.00836 0.038 100.000 100.000
885 T2 K14170 Kegg 0.5315440 0.00365 0.024 100.000 100.000
886 T2 K07456 Kegg 0.5394730 0.00245 0.021 100.000 100.000
890 T2 K06960 Kegg 0.5443822 0.00413 0.026 100.000 100.000
892 T2 K07042 Kegg 0.5491502 0.00445 0.026 100.000 100.000
893 T2 K11928 Kegg 0.5494097 0.01204 0.048 100.000 100.000
895 T2 K02824 Kegg 0.5516253 0.00813 0.038 100.000 100.000
896 T2 K02647 Kegg 0.5551107 0.00278 0.021 100.000 100.000
898 T2 K00620 Kegg 0.5678463 0.00105 0.014 100.000 100.000
901 T2 K07166 Kegg 0.5703449 0.00336 0.023 100.000 100.000
902 T2 K03431 Kegg 0.5745185 0.00266 0.021 100.000 100.000
904 T2 K04041 Kegg 0.5750603 0.00519 0.029 100.000 100.000
905 T2 K06213 Kegg 0.5770744 0.00141 0.016 100.000 100.000
906 T2 K03630 Kegg 0.5799846 0.00035 0.010 100.000 100.000
907 T2 K01715 Kegg 0.5805052 0.00466 0.027 100.000 100.000
909 T2 K10117 Kegg 0.5827239 0.00533 0.030 100.000 100.000
912 T2 K09765 Kegg 0.5844949 0.00855 0.039 100.000 100.000
913 T2 K11145 Kegg 0.5856238 0.00263 0.021 100.000 100.000
914 T2 K00248 Kegg 0.5868585 0.00771 0.037 100.000 100.000
915 T2 K01839 Kegg 0.5868704 0.01104 0.046 100.000 100.000
916 T2 K14540 Kegg 0.5887737 0.00390 0.025 100.000 100.000
917 T2 K00975 Kegg 0.5898914 0.00102 0.014 100.000 100.000
918 T2 K02026 Kegg 0.5908796 0.00290 0.022 100.000 100.000
920 T2 K02028 Kegg 0.5937376 0.00150 0.016 100.000 100.000
921 T2 K00797 Kegg 0.5945243 0.00397 0.025 100.000 100.000
922 T2 K03216 Kegg 0.5957806 0.00322 0.023 100.000 100.000
923 T2 K09747 Kegg 0.5972761 0.00352 0.024 100.000 100.000
925 T2 K07090 Kegg 0.5995828 0.00642 0.033 100.000 100.000
926 T2 K03789 Kegg 0.6023842 0.00110 0.014 100.000 100.000
927 T2 K01962 Kegg 0.6038306 0.00444 0.026 100.000 100.000
930 T2 K06958 Kegg 0.6087385 0.00102 0.014 100.000 100.000
931 T2 K00882 Kegg 0.6099695 0.00252 0.021 100.000 100.000
932 T2 K03637 Kegg 0.6113428 0.01165 0.047 100.000 100.000
933 T2 K02433 Kegg 0.6133405 0.00331 0.023 100.000 100.000
934 T2 K02377 Kegg 0.6145726 0.00879 0.039 100.000 100.000
935 T2 K02048 Kegg 0.6156404 0.00665 0.033 100.000 100.000
936 T2 K07699 Kegg 0.6169021 0.00378 0.024 100.000 100.000
937 T2 K01963 Kegg 0.6171214 0.00495 0.029 100.000 100.000
938 T2 K09772 Kegg 0.6181299 0.00102 0.014 100.000 100.000
939 T2 K10823 Kegg 0.6204457 0.01193 0.047 100.000 100.000
941 T2 K01338 Kegg 0.6214712 0.00137 0.016 100.000 100.000
942 T2 K06394 Kegg 0.6217116 0.01159 0.047 100.000 100.000
945 T2 K10119 Kegg 0.6232319 0.00380 0.024 100.000 100.000
946 T2 K08884 Kegg 0.6272378 0.00122 0.015 100.000 100.000
947 T2 K02025 Kegg 0.6277692 0.00140 0.016 100.000 100.000
948 T2 K07238 Kegg 0.6289478 0.00064 0.013 100.000 100.000
952 T2 K03705 Kegg 0.6319476 0.00332 0.023 100.000 100.000
953 T2 K06024 Kegg 0.6324061 0.00168 0.016 100.000 100.000
954 T2 K09762 Kegg 0.6339890 0.00301 0.022 100.000 100.000
955 T2 K16898 Kegg 0.6347197 0.00276 0.021 100.000 100.000
956 T2 K00821 Kegg 0.6389377 0.00146 0.016 100.000 100.000
958 T2 K00878 Kegg 0.6426667 0.00603 0.032 100.000 100.000
959 T2 K07258 Kegg 0.6445467 0.00166 0.016 100.000 100.000
960 T2 K05832 Kegg 0.6454720 0.00765 0.037 100.000 100.000
961 T2 K06405 Kegg 0.6476392 0.00710 0.035 100.000 100.000
962 T2 K04487 Kegg 0.6481486 0.00018 0.008 100.000 100.000
963 T2 K03500 Kegg 0.6503539 0.00167 0.016 100.000 100.000
964 T2 K10118 Kegg 0.6523636 0.00230 0.021 100.000 100.000
965 T2 K02017 Kegg 0.6547201 0.00348 0.024 100.000 100.000
966 T2 K02027 Kegg 0.6551901 0.00258 0.021 100.000 100.000
967 T2 K03151 Kegg 0.6578093 0.00062 0.013 100.000 100.000
969 T2 K10112 Kegg 0.6616241 0.00022 0.009 100.000 100.000
970 T2 K00074 Kegg 0.6622545 0.00055 0.012 100.000 100.000
971 T2 K04769 Kegg 0.6673013 0.01224 0.048 100.000 100.000
972 T2 K11358 Kegg 0.6678029 0.00135 0.016 100.000 100.000
973 T2 K00974 Kegg 0.6692004 0.00043 0.011 100.000 100.000
975 T2 K03060 Kegg 0.6706481 0.01112 0.046 100.000 100.000
976 T2 K09157 Kegg 0.6712177 0.00038 0.010 100.000 100.000
978 T2 K06438 Kegg 0.6756975 0.00513 0.029 100.000 100.000
979 T2 K06398 Kegg 0.6767737 0.00185 0.017 100.000 100.000
980 T2 K04488 Kegg 0.6793116 0.00054 0.012 100.000 100.000
981 T2 K06923 Kegg 0.6814449 0.00036 0.010 100.000 100.000
982 T2 K05833 Kegg 0.6859927 0.00186 0.017 100.000 100.000
983 T2 K05896 Kegg 0.6871719 0.00098 0.014 100.000 100.000
984 T2 K06200 Kegg 0.6912017 0.00075 0.013 100.000 100.000
986 T2 K07402 Kegg 0.6985676 0.00294 0.022 100.000 100.000
987 T2 K15583 Kegg 0.6992885 0.00453 0.027 100.000 100.000
989 T2 K01749 Kegg 0.7043961 0.01169 0.047 100.000 100.000
991 T2 K01515 Kegg 0.7107748 0.00015 0.008 100.000 100.000
992 T2 K03465 Kegg 0.7132897 0.00535 0.030 100.000 100.000
993 T2 K07720 Kegg 0.7142792 0.00350 0.024 100.000 100.000
994 T2 K06346 Kegg 0.7159005 0.00107 0.014 100.000 100.000
996 T2 K01989 Kegg 0.7213216 0.00116 0.015 100.000 100.000
998 T2 K07105 Kegg 0.7241789 0.00388 0.025 100.000 100.000
999 T2 K16899 Kegg 0.7257648 0.00807 0.038 100.000 100.000
1000 T2 K00626 Kegg 0.7267639 0.00094 0.014 100.000 100.000
1001 T2 K12510 Kegg 0.7276423 0.00972 0.043 100.000 100.000
1002 T2 K00040 Kegg 0.7289016 0.01163 0.047 100.000 100.000
1003 T2 K01193 Kegg 0.7289776 0.00076 0.013 100.000 100.000
1004 T2 K15770 Kegg 0.7305894 0.01003 0.044 100.000 100.000
1005 T2 K06023 Kegg 0.7329300 0.00064 0.013 100.000 100.000
1006 T2 K02804 Kegg 0.7358369 0.00318 0.023 100.000 100.000
1007 T2 K02803 Kegg 0.7358950 0.00318 0.023 100.000 100.000
1008 T2 K02018 Kegg 0.7361693 0.00155 0.016 100.000 100.000
1009 T2 K06407 Kegg 0.7369555 0.00075 0.013 100.000 100.000
1010 T2 K06393 Kegg 0.7390812 0.00674 0.034 100.000 100.000
1011 T2 K06179 Kegg 0.7491669 0.01067 0.045 100.000 100.000
1012 T2 K00805 Kegg 0.7529174 0.00154 0.016 100.000 100.000
1013 T2 K01207 Kegg 0.7540967 0.00429 0.026 100.000 100.000
1014 T2 K07742 Kegg 0.7564104 0.00166 0.016 100.000 100.000
1015 T2 K02770 Kegg 0.7566810 0.00342 0.023 100.000 100.000
1016 T2 K03091 Kegg 0.7595843 0.00007 0.007 100.000 100.000
1017 T2 K04070 Kegg 0.7602013 0.00086 0.013 100.000 100.000
1018 T2 K06406 Kegg 0.7619573 0.00136 0.016 100.000 100.000
1019 T2 K10441 Kegg 0.7627962 0.01038 0.045 100.000 100.000
1020 T2 K02768 Kegg 0.7651784 0.00288 0.022 100.000 100.000
1021 T2 K02769 Kegg 0.7665880 0.00337 0.023 100.000 100.000
1022 T2 K02502 Kegg 0.7673757 0.00155 0.016 100.000 100.000
1023 T2 K01874 Kegg 0.7677952 0.00008 0.007 100.000 100.000
1024 T2 K07736 Kegg 0.7690263 0.00450 0.027 100.000 100.000
1025 T2 K07015 Kegg 0.7706022 0.00083 0.013 100.000 100.000
1026 T2 K02046 Kegg 0.7737265 0.00107 0.014 100.000 100.000
1027 T2 K06382 Kegg 0.7758652 0.00036 0.010 100.000 100.000
1028 T2 K03660 Kegg 0.7767116 0.00288 0.022 100.000 100.000
1029 T2 K03639 Kegg 0.7777035 0.00092 0.014 100.000 100.000
1030 T2 K17320 Kegg 0.7793830 0.00160 0.016 100.000 100.000
1031 T2 K06215 Kegg 0.7833747 0.00021 0.009 100.000 100.000
1032 T2 K17318 Kegg 0.7846739 0.00161 0.016 100.000 100.000
1033 T2 K01488 Kegg 0.7849077 0.00781 0.037 100.000 100.000
1034 T2 K02045 Kegg 0.7889575 0.00076 0.013 100.000 100.000
1035 T2 K03523 Kegg 0.7925569 0.00004 0.007 100.000 100.000
1036 T2 K10201 Kegg 0.7932040 0.00368 0.024 100.000 100.000
1037 T2 K10542 Kegg 0.7964161 0.00074 0.013 100.000 100.000
1038 T2 K19309 Kegg 0.8012657 0.00311 0.023 100.000 100.000
1039 T2 K01198 Kegg 0.8068898 0.00275 0.021 100.000 100.000
1040 T2 K06902 Kegg 0.8070669 0.00234 0.021 100.000 100.000
1041 T2 K02237 Kegg 0.8098803 0.00079 0.013 100.000 100.000
1043 T2 K05934 Kegg 0.8162070 0.00059 0.013 100.000 100.000
1044 T2 K02764 Kegg 0.8207580 0.00112 0.014 100.000 100.000
1045 T2 K02763 Kegg 0.8207580 0.00112 0.014 100.000 100.000
1046 T2 K02765 Kegg 0.8207580 0.00112 0.014 100.000 100.000
1047 T2 K02438 Kegg 0.8275400 0.00086 0.013 100.000 100.000
1048 T2 K01267 Kegg 0.8309289 0.00060 0.013 100.000 100.000
1049 T2 K03706 Kegg 0.8321343 0.00362 0.024 100.000 100.000
1050 T2 K04095 Kegg 0.8344590 0.00297 0.022 100.000 100.000
1051 T2 K07141 Kegg 0.8416053 0.00132 0.016 100.000 100.000
1053 T2 K01008 Kegg 0.8440836 0.00042 0.011 100.000 100.000
1054 T2 K06379 Kegg 0.8457556 0.00036 0.010 100.000 100.000
1055 T2 K07183 Kegg 0.8474034 0.00381 0.024 100.000 100.000
1056 T2 K01224 Kegg 0.8482802 0.00768 0.037 100.000 100.000
1057 T2 K01421 Kegg 0.8487950 0.00005 0.007 100.000 100.000
1058 T2 K06381 Kegg 0.8491327 0.00805 0.038 100.000 100.000
1059 T2 K05936 Kegg 0.8492953 0.00016 0.008 100.000 100.000
1060 T2 K06383 Kegg 0.8493968 0.00273 0.021 100.000 100.000
1062 T2 K06403 Kegg 0.8554531 0.00259 0.021 100.000 100.000
1063 T2 K06967 Kegg 0.8562721 0.00067 0.013 100.000 100.000
1064 T2 K10202 Kegg 0.8577329 0.00155 0.016 100.000 100.000
1065 T2 K04771 Kegg 0.8587861 0.00016 0.008 100.000 100.000
1066 T2 K00375 Kegg 0.8592274 0.00005 0.007 100.000 100.000
1068 T2 K06410 Kegg 0.8632150 0.00853 0.039 100.000 100.000
1069 T2 K07284 Kegg 0.8695994 0.00085 0.013 100.000 100.000
1070 T2 K02653 Kegg 0.8717714 0.00593 0.032 100.000 100.000
1071 T2 K06399 Kegg 0.8719291 0.00105 0.014 100.000 100.000
1072 T2 K06209 Kegg 0.8758852 0.00152 0.016 100.000 100.000
1073 T2 K11690 Kegg 0.8760635 0.00147 0.016 100.000 100.000
1076 T2 K03763 Kegg 0.8772042 0.00128 0.015 100.000 100.000
1077 T2 K03407 Kegg 0.8772978 0.01042 0.045 100.000 100.000
1078 T2 K17319 Kegg 0.8837262 0.00040 0.010 100.000 100.000
1079 T2 K06392 Kegg 0.8842953 0.00143 0.016 100.000 100.000
1080 T2 K08978 Kegg 0.8872219 0.00069 0.013 100.000 100.000
1081 T2 K10440 Kegg 0.8895084 0.00566 0.031 100.000 100.000
1082 T2 K06042 Kegg 0.8913574 0.00052 0.012 100.000 100.000
1083 T2 K07584 Kegg 0.8923635 0.00038 0.010 100.000 100.000
1085 T2 K03406 Kegg 0.8982554 0.01060 0.045 100.000 100.000
1086 T2 K15771 Kegg 0.9094112 0.00016 0.008 100.000 100.000
1088 T2 K06390 Kegg 0.9232972 0.00004 0.007 100.000 100.000
1089 T2 K15772 Kegg 0.9236546 0.00008 0.007 100.000 100.000
1090 T2 K02047 Kegg 0.9270869 0.00013 0.008 100.000 100.000
1091 T2 K03608 Kegg 0.9302993 0.00188 0.017 100.000 100.000
1092 T2 K06385 Kegg 0.9386388 0.00023 0.009 100.000 100.000
1093 T2 K06378 Kegg 0.9415445 0.00015 0.008 100.000 100.000
1094 T2 K02189 Kegg 0.9475985 0.00076 0.013 100.000 100.000
1096 T2 K18672 Kegg 0.9688442 0.00086 0.013 100.000 100.000
1098 T2 K00394 Kegg 0.9808666 0.00009 0.007 100.000 100.000
1099 T2 K07080 Kegg 0.9826377 0.00091 0.014 100.000 100.000
1101 T2 K02392 Kegg 0.9837347 0.00419 0.026 100.000 100.000
1102 T2 K06409 Kegg 0.9877183 0.00010 0.007 100.000 100.000
1104 T2 K11104 Kegg 0.9898892 0.00040 0.010 100.000 100.000
1105 T2 K16511 Kegg 1.0017536 0.00054 0.012 100.000 100.000
1107 T2 K18640 Kegg 1.0439460 0.00083 0.013 100.000 100.000
1108 T2 K10540 Kegg 1.0667500 0.00002 0.007 100.000 100.000
1109 T2 K06012 Kegg 1.0764329 0.00003 0.007 100.000 100.000
1110 T2 K02407 Kegg 1.0978469 0.00408 0.025 100.000 100.000
1111 T2 K02283 Kegg 1.0979857 0.00008 0.007 100.000 100.000
1112 T2 K13052 Kegg 1.1001403 0.00134 0.016 100.000 100.000
1113 T2 K06411 Kegg 1.1108904 0.00004 0.007 100.000 100.000
1114 T2 K18349 Kegg 1.1367908 0.00010 0.007 100.000 100.000
1115 T2 K19310 Kegg 1.1420131 0.00010 0.007 100.000 100.000
1116 T2 K07813 Kegg 1.1663351 0.00014 0.008 100.000 100.000
1117 T2 K09163 Kegg 1.1674186 0.00355 0.024 100.000 100.000
1118 T2 K18350 Kegg 1.1762358 0.00246 0.021 100.000 100.000
1119 T2 K03700 Kegg 1.2495567 0.00009 0.007 100.000 100.000
1120 T2 K18475 Kegg 1.2704278 0.00006 0.007 100.000 100.000
1121 T2 K02406 Kegg 1.2709031 0.00018 0.008 100.000 100.000
1122 T2 K06283 Kegg 1.4188128 0.00025 0.009 100.000 100.000
1123 T2 K07216 Kegg 1.6257623 0.00003 0.007 100.000 95.455
1124 T3 K02852 Kegg -3.1539613 0.00008 0.004 67.647 97.059
1125 T3 K18831 Kegg -1.8091827 0.00032 0.006 91.176 100.000
1126 T3 K01730 Kegg -0.8552738 0.00122 0.013 100.000 100.000
1127 T3 K11934 Kegg -0.8441109 0.00104 0.012 100.000 100.000
1128 T3 K00432 Kegg -0.8397149 0.00004 0.004 100.000 100.000
1129 T3 K02002 Kegg -0.8315485 0.00207 0.018 100.000 100.000
1130 T3 K07011 Kegg -0.8130670 0.00141 0.014 100.000 100.000
1133 T3 K01130 Kegg -0.7942356 0.00228 0.019 100.000 100.000
1134 T3 K00334 Kegg -0.7911153 0.00071 0.010 100.000 100.000
1135 T3 K01433 Kegg -0.7902586 0.00141 0.014 100.000 100.000
1136 T3 K15923 Kegg -0.7864922 0.00343 0.023 100.000 100.000
1137 T3 K09474 Kegg -0.7843986 0.00381 0.024 100.000 100.000
1138 T3 K01811 Kegg -0.7658170 0.01223 0.050 97.059 100.000
1140 T3 K01183 Kegg -0.7628283 0.00536 0.030 100.000 100.000
1141 T3 K03931 Kegg -0.7474415 0.00893 0.041 100.000 100.000
1142 T3 K01991 Kegg -0.7397534 0.00011 0.004 100.000 100.000
1143 T3 K03771 Kegg -0.7245091 0.00000 0.000 100.000 100.000
1144 T3 K06079 Kegg -0.7108244 0.00713 0.035 100.000 100.000
1145 T3 K09690 Kegg -0.7091383 0.00732 0.036 100.000 100.000
1146 T3 K00684 Kegg -0.7061650 0.00352 0.023 100.000 100.000
1147 T3 K07277 Kegg -0.7004467 0.00676 0.034 97.059 100.000
1148 T3 K02856 Kegg -0.6933694 0.00092 0.012 100.000 100.000
1149 T3 K09789 Kegg -0.6824016 0.00962 0.043 100.000 100.000
1151 T3 K11065 Kegg -0.6771215 0.00033 0.006 100.000 100.000
1152 T3 K07017 Kegg -0.6725291 0.00494 0.029 100.000 100.000
1155 T3 K01791 Kegg -0.6596961 0.00018 0.005 100.000 100.000
1156 T3 K00979 Kegg -0.6569280 0.00004 0.004 100.000 100.000
1157 T3 K09680 Kegg -0.6525102 0.00890 0.041 100.000 100.000
1158 T3 K15977 Kegg -0.6519244 0.00010 0.004 100.000 100.000
1159 T3 K06188 Kegg -0.6516615 0.00687 0.034 100.000 100.000
1161 T3 K06177 Kegg -0.6444687 0.00242 0.020 100.000 100.000
1162 T3 K02429 Kegg -0.6438371 0.00061 0.009 100.000 100.000
1163 T3 K18691 Kegg -0.6417277 0.00006 0.004 100.000 100.000
1164 T3 K02775 Kegg -0.6412682 0.00028 0.006 100.000 100.000
1165 T3 K06911 Kegg -0.6397259 0.00026 0.006 100.000 100.000
1166 T3 K05801 Kegg -0.6237772 0.01043 0.045 100.000 100.000
1167 T3 K04084 Kegg -0.6228586 0.01170 0.048 100.000 100.000
1168 T3 K01201 Kegg -0.6225803 0.01124 0.047 100.000 100.000
1169 T3 K03473 Kegg -0.6148255 0.00060 0.009 100.000 100.000
1170 T3 K03387 Kegg -0.6108437 0.00271 0.021 100.000 100.000
1171 T3 K06113 Kegg -0.6086637 0.00308 0.022 100.000 100.000
1172 T3 K11527 Kegg -0.5960590 0.00198 0.018 100.000 100.000
1173 T3 K01627 Kegg -0.5958012 0.00695 0.034 100.000 100.000
1176 T3 K07405 Kegg -0.5887161 0.00594 0.032 100.000 100.000
1177 T3 K07322 Kegg -0.5879253 0.00751 0.036 100.000 100.000
1178 T3 K03269 Kegg -0.5866264 0.00001 0.003 100.000 100.000
1180 T3 K02014 Kegg -0.5814456 0.00014 0.005 100.000 100.000
1182 T3 K02217 Kegg -0.5690233 0.00012 0.005 100.000 100.000
1183 T3 K03558 Kegg -0.5682080 0.00967 0.043 100.000 100.000
1184 T3 K01966 Kegg -0.5681965 0.00881 0.041 100.000 100.000
1185 T3 K06142 Kegg -0.5655749 0.00006 0.004 100.000 100.000
1186 T3 K08307 Kegg -0.5646379 0.00185 0.017 100.000 100.000
1187 T3 K07091 Kegg -0.5646197 0.00048 0.008 100.000 100.000
1188 T3 K01468 Kegg -0.5644905 0.00052 0.008 100.000 100.000
1191 T3 K04773 Kegg -0.5616728 0.00027 0.006 100.000 100.000
1192 T3 K00782 Kegg -0.5604787 0.00660 0.034 100.000 100.000
1193 T3 K03327 Kegg -0.5604361 0.00095 0.012 100.000 100.000
1194 T3 K13993 Kegg -0.5569301 0.00005 0.004 100.000 100.000
1196 T3 K16089 Kegg -0.5538162 0.00138 0.014 100.000 100.000
1197 T3 K01787 Kegg -0.5537350 0.00329 0.023 100.000 100.000
1198 T3 K01993 Kegg -0.5490618 0.00009 0.004 100.000 100.000
1199 T3 K05595 Kegg -0.5483242 0.00006 0.004 100.000 100.000
1200 T3 K00798 Kegg -0.5448398 0.00098 0.012 100.000 100.000
1201 T3 K03773 Kegg -0.5429522 0.00027 0.006 100.000 100.000
1202 T3 K06975 Kegg -0.5405695 0.00139 0.014 100.000 100.000
1203 T3 K01802 Kegg -0.5404034 0.00360 0.024 100.000 100.000
1204 T3 K03733 Kegg -0.5402626 0.00003 0.004 100.000 100.000
1206 T3 K04762 Kegg -0.5377581 0.00238 0.020 100.000 100.000
1208 T3 K03975 Kegg -0.5351037 0.00982 0.043 100.000 100.000
1209 T3 K00940 Kegg -0.5341115 0.00198 0.018 100.000 100.000
1210 T3 K00929 Kegg -0.5295053 0.00150 0.015 100.000 100.000
1211 T3 K03118 Kegg -0.5263515 0.00034 0.007 100.000 100.000
1214 T3 K12343 Kegg -0.5202236 0.00192 0.017 100.000 100.000
1215 T3 K07175 Kegg -0.5180995 0.00310 0.022 100.000 100.000
1216 T3 K08218 Kegg -0.5176458 0.00206 0.018 100.000 100.000
1217 T3 K00036 Kegg -0.5172796 0.00490 0.029 100.000 100.000
1218 T3 K05807 Kegg -0.5169974 0.00082 0.011 100.000 100.000
1219 T3 K03113 Kegg -0.5159969 0.00690 0.034 100.000 100.000
1221 T3 K02001 Kegg -0.5118081 0.00500 0.029 100.000 100.000
1224 T3 K01834 Kegg -0.5111006 0.00022 0.006 100.000 100.000
1227 T3 K03801 Kegg -0.5047074 0.00119 0.013 100.000 100.000
1229 T3 K02029 Kegg 0.5046704 0.00445 0.027 100.000 100.000
1230 T3 K00965 Kegg 0.5051954 0.01158 0.048 100.000 100.000
1232 T3 K02026 Kegg 0.5130047 0.00509 0.029 100.000 100.000
1234 T3 K06390 Kegg 0.5135033 0.01187 0.049 100.000 100.000
1235 T3 K07456 Kegg 0.5169375 0.00169 0.016 100.000 100.000
1238 T3 K02371 Kegg 0.5201756 0.00174 0.016 100.000 100.000
1239 T3 K01571 Kegg 0.5224981 0.00312 0.022 100.000 100.000
1240 T3 K07258 Kegg 0.5232414 0.00536 0.030 100.000 100.000
1242 T3 K06023 Kegg 0.5249470 0.00689 0.034 100.000 100.000
1244 T3 K00874 Kegg 0.5309307 0.00499 0.029 100.000 100.000
1245 T3 K11189 Kegg 0.5311170 0.00027 0.006 100.000 100.000
1246 T3 K00008 Kegg 0.5312717 0.00476 0.029 100.000 100.000
1247 T3 K00805 Kegg 0.5361614 0.01221 0.050 100.000 100.000
1248 T3 K07574 Kegg 0.5368945 0.00681 0.034 100.000 100.000
1249 T3 K03523 Kegg 0.5374678 0.00210 0.018 100.000 100.000
1250 T3 K03705 Kegg 0.5397993 0.00595 0.032 100.000 100.000
1251 T3 K11145 Kegg 0.5399926 0.00299 0.022 100.000 100.000
1252 T3 K07042 Kegg 0.5429900 0.00252 0.020 100.000 100.000
1255 T3 K02913 Kegg 0.5538722 0.00024 0.006 100.000 100.000
1256 T3 K03394 Kegg 0.5540334 0.01194 0.049 100.000 100.000
1257 T3 K01515 Kegg 0.5556428 0.00116 0.013 100.000 100.000
1258 T3 K06379 Kegg 0.5609890 0.00930 0.042 100.000 100.000
1259 T3 K02045 Kegg 0.5620068 0.00648 0.034 100.000 100.000
1260 T3 K00975 Kegg 0.5626362 0.00060 0.009 100.000 100.000
1261 T3 K00821 Kegg 0.5644432 0.00211 0.018 100.000 100.000
1263 T3 K15634 Kegg 0.5659439 0.00230 0.019 100.000 100.000
1264 T3 K10112 Kegg 0.5666859 0.00052 0.008 100.000 100.000
1265 T3 K03151 Kegg 0.5681037 0.00126 0.013 100.000 100.000
1267 T3 K06960 Kegg 0.5706757 0.00111 0.013 100.000 100.000
1268 T3 K00878 Kegg 0.5711973 0.00828 0.039 100.000 100.000
1269 T3 K07040 Kegg 0.5721235 0.00163 0.016 100.000 100.000
1271 T3 K03292 Kegg 0.5746860 0.00030 0.006 100.000 100.000
1272 T3 K01356 Kegg 0.5761674 0.00202 0.018 100.000 100.000
1273 T3 K03785 Kegg 0.5766110 0.00583 0.031 100.000 100.000
1274 T3 K09157 Kegg 0.5771045 0.00088 0.011 100.000 100.000
1276 T3 K00797 Kegg 0.5835607 0.00196 0.018 100.000 100.000
1278 T3 K00620 Kegg 0.5870329 0.00023 0.006 100.000 100.000
1279 T3 K08884 Kegg 0.5879556 0.00082 0.011 100.000 100.000
1281 T3 K06213 Kegg 0.5885697 0.00043 0.008 100.000 100.000
1282 T3 K01963 Kegg 0.5886718 0.00319 0.022 100.000 100.000
1283 T3 K02824 Kegg 0.5893400 0.00206 0.018 100.000 100.000
1284 T3 K07742 Kegg 0.5918359 0.00682 0.034 100.000 100.000
1285 T3 K04487 Kegg 0.5923305 0.00016 0.005 100.000 100.000
1286 T3 K07576 Kegg 0.5956121 0.00500 0.029 100.000 100.000
1287 T3 K06405 Kegg 0.5985878 0.00636 0.033 100.000 100.000
1288 T3 K01338 Kegg 0.6004448 0.00065 0.009 100.000 100.000
1292 T3 K01874 Kegg 0.6129148 0.00048 0.008 100.000 100.000
1293 T3 K02438 Kegg 0.6130478 0.00559 0.031 100.000 100.000
1294 T3 K04074 Kegg 0.6133488 0.00908 0.042 100.000 100.000
1296 T3 K01995 Kegg 0.6144280 0.01124 0.047 100.000 100.000
1297 T3 K01962 Kegg 0.6168368 0.00157 0.015 100.000 100.000
1298 T3 K06919 Kegg 0.6175596 0.00777 0.037 100.000 100.000
1299 T3 K03488 Kegg 0.6197957 0.01082 0.046 100.000 100.000
1300 T3 K07667 Kegg 0.6211200 0.00205 0.018 100.000 100.000
1301 T3 K08659 Kegg 0.6241871 0.01243 0.050 100.000 100.000
1302 T3 K04771 Kegg 0.6279464 0.00243 0.020 100.000 100.000
1303 T3 K01420 Kegg 0.6313209 0.00925 0.042 100.000 100.000
1304 T3 K06403 Kegg 0.6342379 0.01070 0.046 100.000 100.000
1305 T3 K19309 Kegg 0.6361538 0.00846 0.040 100.000 100.000
1306 T3 K03763 Kegg 0.6375130 0.00850 0.040 100.000 100.000
1308 T3 K07141 Kegg 0.6383806 0.00562 0.031 100.000 100.000
1310 T3 K03168 Kegg 0.6417905 0.00051 0.008 100.000 100.000
1311 T3 K02035 Kegg 0.6459580 0.00206 0.018 100.000 100.000
1312 T3 K07718 Kegg 0.6464958 0.00302 0.022 100.000 100.000
1313 T3 K04488 Kegg 0.6486015 0.00033 0.006 100.000 100.000
1314 T3 K07862 Kegg 0.6504849 0.00307 0.022 100.000 100.000
1315 T3 K10254 Kegg 0.6506909 0.00440 0.027 100.000 100.000
1316 T3 K09762 Kegg 0.6517019 0.00072 0.010 100.000 100.000
1318 T3 K06024 Kegg 0.6536213 0.00038 0.007 100.000 100.000
1319 T3 K06409 Kegg 0.6635870 0.00265 0.021 100.000 100.000
1320 T3 K00074 Kegg 0.6645462 0.00018 0.005 100.000 100.000
1321 T3 K00394 Kegg 0.6665199 0.00297 0.022 100.000 100.000
1322 T3 K02770 Kegg 0.6689602 0.00395 0.025 100.000 100.000
1324 T3 K01996 Kegg 0.6720452 0.00271 0.021 100.000 100.000
1325 T3 K15581 Kegg 0.6816839 0.00412 0.026 100.000 100.000
1326 T3 K02047 Kegg 0.6835890 0.00133 0.014 100.000 100.000
1327 T3 K01839 Kegg 0.6892823 0.00113 0.013 100.000 100.000
1328 T3 K02046 Kegg 0.6951887 0.00099 0.012 100.000 100.000
1329 T3 K06901 Kegg 0.6955627 0.00018 0.005 100.000 100.000
1330 T3 K01997 Kegg 0.7016447 0.00523 0.030 100.000 100.000
1331 T3 K18369 Kegg 0.7030924 0.00641 0.034 100.000 100.000
1332 T3 K00375 Kegg 0.7037239 0.00021 0.006 100.000 100.000
1333 T3 K16511 Kegg 0.7077397 0.00464 0.028 100.000 100.000
1334 T3 K11104 Kegg 0.7095667 0.00354 0.023 100.000 100.000
1335 T3 K15582 Kegg 0.7096419 0.00080 0.011 100.000 100.000
1336 T3 K10440 Kegg 0.7103996 0.01215 0.050 100.000 100.000
1338 T3 K10823 Kegg 0.7137700 0.00170 0.016 100.000 100.000
1339 T3 K07105 Kegg 0.7139710 0.00180 0.017 100.000 100.000
1340 T3 K05832 Kegg 0.7145435 0.00124 0.013 100.000 100.000
1341 T3 K00016 Kegg 0.7146056 0.00539 0.030 100.000 100.000
1342 T3 K03216 Kegg 0.7166823 0.00014 0.005 100.000 100.000
1343 T3 K09768 Kegg 0.7200530 0.00362 0.024 100.000 100.000
1344 T3 K06346 Kegg 0.7222598 0.00029 0.006 100.000 100.000
1345 T3 K02763 Kegg 0.7269240 0.00109 0.013 100.000 100.000
1346 T3 K02765 Kegg 0.7269240 0.00109 0.013 100.000 100.000
1347 T3 K02764 Kegg 0.7269240 0.00109 0.013 100.000 100.000
1348 T3 K01198 Kegg 0.7289435 0.00263 0.021 100.000 100.000
1349 T3 K07720 Kegg 0.7297074 0.00100 0.012 100.000 100.000
1350 T3 K12510 Kegg 0.7352957 0.00326 0.023 100.000 100.000
1351 T3 K10117 Kegg 0.7357839 0.00015 0.005 100.000 100.000
1352 T3 K02072 Kegg 0.7371863 0.00234 0.019 100.000 100.000
1354 T3 K18349 Kegg 0.7504839 0.00323 0.023 100.000 100.000
1355 T3 K07813 Kegg 0.7549515 0.00561 0.031 100.000 100.000
1356 T3 K03431 Kegg 0.7581289 0.00002 0.004 100.000 100.000
1357 T3 K05833 Kegg 0.7639496 0.00019 0.005 100.000 100.000
1358 T3 K02017 Kegg 0.7643746 0.00019 0.005 100.000 100.000
1359 T3 K10118 Kegg 0.7650730 0.00010 0.004 100.000 100.000
1360 T3 K08234 Kegg 0.7651101 0.01200 0.049 97.059 100.000
1361 T3 K02283 Kegg 0.7654780 0.00242 0.020 100.000 100.000
1363 T3 K03719 Kegg 0.7763450 0.00076 0.010 100.000 100.000
1364 T3 K11358 Kegg 0.7773396 0.00005 0.004 100.000 100.000
1365 T3 K07402 Kegg 0.7795020 0.00029 0.006 100.000 100.000
1366 T3 K15583 Kegg 0.7799189 0.00061 0.009 100.000 100.000
1367 T3 K02018 Kegg 0.7799982 0.00027 0.006 100.000 100.000
1368 T3 K03484 Kegg 0.7826986 0.00058 0.009 100.000 100.000
1369 T3 K04042 Kegg 0.7891911 0.00517 0.030 100.000 100.000
1370 T3 K09022 Kegg 0.7909429 0.00024 0.006 100.000 100.000
1372 T3 K01715 Kegg 0.8012500 0.00003 0.004 100.000 100.000
1373 T3 K07284 Kegg 0.8040849 0.00113 0.013 100.000 100.000
1374 T3 K06209 Kegg 0.8046318 0.00100 0.012 100.000 100.000
1375 T3 K10119 Kegg 0.8066063 0.00005 0.004 100.000 100.000
1377 T3 K01625 Kegg 0.8089924 0.00143 0.014 100.000 100.000
1378 T3 K01788 Kegg 0.8090829 0.00521 0.030 100.000 100.000
1379 T3 K01267 Kegg 0.8107884 0.00024 0.006 100.000 100.000
1380 T3 K00626 Kegg 0.8112604 0.00007 0.004 100.000 100.000
1381 T3 K01008 Kegg 0.8116769 0.00020 0.005 100.000 100.000
1382 T3 K02020 Kegg 0.8141246 0.00337 0.023 100.000 100.000
1383 T3 K03465 Kegg 0.8165278 0.00048 0.008 100.000 100.000
1384 T3 K03637 Kegg 0.8174472 0.00026 0.006 100.000 100.000
1385 T3 K06215 Kegg 0.8301288 0.00002 0.003 100.000 100.000
1386 T3 K03639 Kegg 0.8364655 0.00010 0.004 100.000 100.000
1387 T3 K01989 Kegg 0.8396453 0.00005 0.004 100.000 100.000
1388 T3 K10542 Kegg 0.8398140 0.00012 0.005 100.000 100.000
1389 T3 K18640 Kegg 0.8407648 0.00373 0.024 100.000 100.000
1391 T3 K06200 Kegg 0.8451014 0.00001 0.002 100.000 100.000
1392 T3 K10202 Kegg 0.8479697 0.00059 0.009 100.000 100.000
1393 T3 K10201 Kegg 0.8509899 0.00069 0.010 100.000 100.000
1394 T3 K17320 Kegg 0.8565207 0.00014 0.005 100.000 100.000
1395 T3 K17318 Kegg 0.8672794 0.00012 0.005 100.000 100.000
1397 T3 K10194 Kegg 0.8763140 0.01042 0.045 100.000 100.000
1398 T3 K01998 Kegg 0.8822695 0.00042 0.008 100.000 100.000
1399 T3 K07183 Kegg 0.8854591 0.00091 0.012 100.000 100.000
1400 T3 K05341 Kegg 0.8982384 0.00171 0.016 100.000 100.000
1401 T3 K02803 Kegg 0.9019759 0.00010 0.004 100.000 100.000
1402 T3 K02804 Kegg 0.9020464 0.00010 0.004 100.000 100.000
1403 T3 K01193 Kegg 0.9071020 0.00001 0.002 100.000 100.000
1404 T3 K02406 Kegg 0.9135823 0.00417 0.026 100.000 100.000
1405 T3 K02189 Kegg 0.9136002 0.00037 0.007 100.000 100.000
1406 T3 K10009 Kegg 0.9228516 0.00388 0.025 100.000 100.000
1407 T3 K03856 Kegg 0.9230059 0.00150 0.015 100.000 100.000
1408 T3 K19310 Kegg 0.9267513 0.00048 0.008 100.000 100.000
1409 T3 K13052 Kegg 0.9271078 0.00314 0.022 100.000 100.000
1410 T3 K17319 Kegg 0.9306868 0.00005 0.004 100.000 100.000
1411 T3 K10540 Kegg 0.9308429 0.00006 0.004 100.000 100.000
1412 T3 K10193 Kegg 0.9420117 0.00576 0.031 100.000 100.000
1413 T3 K06902 Kegg 0.9426857 0.00016 0.005 100.000 100.000
1414 T3 K05936 Kegg 0.9434362 0.00001 0.002 100.000 100.000
1415 T3 K06378 Kegg 0.9488463 0.00003 0.004 100.000 100.000
1416 T3 K16328 Kegg 0.9528303 0.00931 0.042 100.000 100.000
1417 T3 K11690 Kegg 0.9560509 0.00014 0.005 100.000 100.000
1418 T3 K06283 Kegg 0.9574298 0.00505 0.029 100.000 100.000
1419 T3 K10200 Kegg 0.9664604 0.00285 0.022 100.000 100.000
1420 T3 K06042 Kegg 0.9711114 0.00004 0.004 100.000 100.000
1421 T3 K00040 Kegg 0.9888120 0.00025 0.006 100.000 100.000
1422 T3 K00563 Kegg 1.0053497 0.00147 0.015 100.000 100.000
1423 T3 K05934 Kegg 1.0149581 0.00000 0.002 100.000 100.000
1424 T3 K03518 Kegg 1.0175096 0.00003 0.004 100.000 100.000
1425 T3 K06411 Kegg 1.2340250 0.00000 0.001 100.000 100.000
1427 All RXN0-5268 MetaCyc -1.0262832 0.00260 0.046 100.000 100.000
1428 All TRYPTOPHAN-RXN MetaCyc -0.8477034 0.00126 0.038 100.000 100.000
1430 All UROCANATE-HYDRATASE-RXN MetaCyc -0.7838048 0.00192 0.045 100.000 100.000
1431 All MANNPGUANYLTRANGDP-RXN MetaCyc -0.7370421 0.00116 0.038 100.000 100.000
1432 All PENICILLIN-AMIDASE-RXN MetaCyc -0.7039588 0.00236 0.046 100.000 100.000
1433 All DARAB5PISOM-RXN MetaCyc -0.6962895 0.00007 0.010 100.000 100.000
1434 All UDPGLCNACEPIM-RXN MetaCyc -0.6305352 0.00005 0.010 100.000 100.000
1447 All PMPOXI-RXN MetaCyc -0.5401617 0.00167 0.045 100.000 100.000
1448 All PNPOXI-RXN MetaCyc -0.5401617 0.00167 0.045 100.000 100.000
1449 All FORMYLTHFDEFORMYL-RXN MetaCyc -0.5221739 0.00235 0.046 100.000 100.000
1450 All RXN-15294 MetaCyc -0.5221003 0.00000 0.000 100.000 100.000
1453 All 3.4.21.102-RXN MetaCyc -0.5086603 0.00092 0.035 100.000 100.000
1458 All PROTEIN-TYROSINE-PHOSPHATASE-RXN MetaCyc 0.5144822 0.00172 0.045 100.000 100.000
1460 All 3.1.11.2-RXN MetaCyc 0.5312605 0.00414 0.046 100.000 100.000
1464 All RXN-8340 MetaCyc 0.5456064 0.00068 0.035 100.000 100.000
1466 All THIAMIN-PYROPHOSPHOKINASE-RXN MetaCyc 0.5667038 0.00325 0.046 100.000 100.000
1467 All RXN-1461 MetaCyc 0.5833627 0.00190 0.045 100.000 100.000
1468 All RXN-9985 MetaCyc 0.5833627 0.00190 0.045 100.000 100.000
1470 All RIBAZOLEPHOSPHAT-RXN MetaCyc 0.5893983 0.00241 0.046 100.000 100.000
1471 All RXN-8770 MetaCyc 0.5893983 0.00241 0.046 100.000 100.000
1472 All MANNONOXIDOREDUCT-RXN MetaCyc 0.6027752 0.00348 0.046 100.000 100.000
1473 All GLUTAMATE-SYNTHASE-NADH-RXN MetaCyc 0.6369103 0.00028 0.022 100.000 100.000
1474 All ACETYL-COA-ACETYLTRANSFER-RXN MetaCyc 0.6544289 0.00028 0.022 100.000 100.000
1475 All RXN-12561 MetaCyc 0.6544289 0.00028 0.022 100.000 100.000
1476 All METHYLACETOACETYLCOATHIOL-RXN MetaCyc 0.6544289 0.00028 0.022 100.000 100.000
1477 All RXN0-2044 MetaCyc 0.6600353 0.00397 0.046 100.000 100.000
1478 All COBINPGUANYLYLTRANS-RXN MetaCyc 0.6646405 0.00068 0.035 100.000 100.000
1479 All RXN-16133 MetaCyc 0.6705096 0.00345 0.046 100.000 100.000
1480 All RXN-10698 MetaCyc 0.6705096 0.00345 0.046 100.000 100.000
1481 All RXN-11662 MetaCyc 0.6705096 0.00345 0.046 100.000 100.000
1482 All RXN-12490 MetaCyc 0.6705096 0.00345 0.046 100.000 100.000
1483 All RXN-10702 MetaCyc 0.6705096 0.00345 0.046 100.000 100.000
1484 All RXN-11245 MetaCyc 0.6705096 0.00345 0.046 100.000 100.000
1485 All RXN-12750 MetaCyc 0.6705096 0.00345 0.046 100.000 100.000
1486 All OHACYL-COA-DEHYDROG-RXN MetaCyc 0.6705096 0.00345 0.046 100.000 100.000
1487 All RXN-10703 MetaCyc 0.6705096 0.00345 0.046 100.000 100.000
1488 All RXN-12570 MetaCyc 0.6705096 0.00345 0.046 100.000 100.000
1489 All RXN-12705 MetaCyc 0.6705096 0.00345 0.046 100.000 100.000
1490 All RXN-14275 MetaCyc 0.6705096 0.00345 0.046 100.000 100.000
1491 All MCPMETEST-RXN MetaCyc 0.7373535 0.00144 0.042 100.000 100.000
1492 All 1.5.1.7-RXN MetaCyc 0.7972224 0.00008 0.010 100.000 100.000
1493 All COBINAMIDEKIN-RXN MetaCyc 0.8901950 0.00007 0.010 100.000 100.000
1494 All RXN-14063 MetaCyc 0.8901950 0.00007 0.010 100.000 100.000
1495 All 2.7.1.156-RXN MetaCyc 0.8901950 0.00007 0.010 100.000 100.000
1496 All CHEBDEAMID-RXN MetaCyc 1.2112997 0.00002 0.010 100.000 100.000
1665 T3 MANNPGUANYLTRANGDP-RXN MetaCyc -0.7804190 0.00077 0.035 100.000 100.000
1667 T3 GTP-CYCLOHYDRO-II-RXN MetaCyc -0.6849637 0.00019 0.017 100.000 100.000
1668 T3 PHOSPHONOACETALDEHYDE-HYDROLASE-RXN MetaCyc -0.6600315 0.00001 0.003 100.000 100.000
1671 T3 FORMYLTHFDEFORMYL-RXN MetaCyc -0.6436087 0.00026 0.020 100.000 100.000
1672 T3 UDPGLCNACEPIM-RXN MetaCyc -0.6323042 0.00010 0.012 100.000 100.000
1673 T3 PMPOXI-RXN MetaCyc -0.6251099 0.00047 0.032 100.000 100.000
1674 T3 PNPOXI-RXN MetaCyc -0.6251099 0.00047 0.032 100.000 100.000
1675 T3 BETA-LACTAMASE-RXN MetaCyc -0.6181152 0.00003 0.007 100.000 100.000
1677 T3 DARAB5PISOM-RXN MetaCyc -0.6094011 0.00072 0.035 100.000 100.000
1678 T3 DIOHBUTANONEPSYN-RXN MetaCyc -0.6058414 0.00008 0.010 100.000 100.000
1679 T3 RXN-15513 MetaCyc -0.5896280 0.00000 0.002 100.000 100.000
1680 T3 RXN-15294 MetaCyc -0.5804094 0.00000 0.000 100.000 100.000
1681 T3 OROTATE-REDUCTASE-NADH-RXN MetaCyc -0.5778940 0.00136 0.043 100.000 100.000
1685 T3 GLU6PDEHYDROG-RXN MetaCyc -0.5214315 0.00005 0.009 100.000 100.000
1686 T3 3.4.21.102-RXN MetaCyc -0.5041549 0.00178 0.043 100.000 100.000
1709 T3 GLUTAMATE-SYNTHASE-NADH-RXN MetaCyc 0.5780811 0.00179 0.043 100.000 100.000
1710 T3 ACETYL-COA-ACETYLTRANSFER-RXN MetaCyc 0.5893746 0.00207 0.043 100.000 100.000
1711 T3 RXN-12561 MetaCyc 0.5893746 0.00207 0.043 100.000 100.000
1712 T3 METHYLACETOACETYLCOATHIOL-RXN MetaCyc 0.5893746 0.00207 0.043 100.000 100.000
1714 T3 RXN-1461 MetaCyc 0.6249956 0.00159 0.043 100.000 100.000
1715 T3 RXN-9985 MetaCyc 0.6249956 0.00159 0.043 100.000 100.000
1716 T3 3.1.11.2-RXN MetaCyc 0.6314266 0.00166 0.043 100.000 100.000
1717 T3 1.5.1.7-RXN MetaCyc 0.6940417 0.00109 0.036 100.000 100.000
1718 T3 RXN-8340 MetaCyc 0.7009675 0.00005 0.009 100.000 100.000
1720 T3 COBINAMIDEKIN-RXN MetaCyc 0.7880566 0.00092 0.035 100.000 100.000
1721 T3 RXN-14063 MetaCyc 0.7880566 0.00092 0.035 100.000 100.000
1722 T3 2.7.1.156-RXN MetaCyc 0.7880566 0.00092 0.035 100.000 100.000
1723 T3 CARBON-MONOXIDE-DEHYDROGENASE-RXN MetaCyc 0.7893654 0.00023 0.019 100.000 100.000

6.2 DA Functions (Trimesters) statistics

Trimester Taxa TaxLevel LogFC P.Val adj.P.Val TPrev TSPrev
11 T12NT1D PWY-5918: superpathay of heme biosynthesis from glutamate Pathways -3.0331337 0.00001 0.004 45.455 100
56 T12T1D K00860 Kegg -0.6467464 0.00042 0.046 100.000 100
64 T12T1D K02551 Kegg -0.6135904 0.00017 0.029 100.000 100
66 T12T1D K00347 Kegg -0.6030352 0.00007 0.022 100.000 100
85 T12T1D K01961 Kegg -0.5143939 0.00007 0.022 100.000 100
127 T12T1D K03500 Kegg 0.6086474 0.00040 0.046 100.000 100
128 T12T1D K03789 Kegg 0.6280181 0.00005 0.022 100.000 100
146 T12T1D K01207 Kegg 0.8735685 0.00006 0.022 100.000 100
175 T13T1D K00175 Kegg -0.5269407 0.00003 0.024 100.000 100
307 T12T1D 2.7.8.6-RXN MetaCyc 0.8574900 0.00008 0.046 100.000 100

6.2.1 DA Function (T1D vs. non-T1D) plots All

7 Species contribution to selected differentially abundant functions

7.1 Selecting the species that contribute and are on average more abundant in one group

Bacterial species contributing to differentially abundant (DA) functions were plotted.Then, from the repertoire of bacteria that are contributing to the DA functions, we selected only the bacterial species which are on average more abundant in the group in which they are more abundant. However, given the size of the code, this analysis can be found in the separate markdown file "Metagenomics_Taxonomic_contribution_to_functions". We named this groups of contributing bacteria functional clusters.

For this analysis, the data was transformed to obtain a normal distribution before applying the lmer test. To check that the residuals of data were normal after transformation (i.e. log2), a shapiro.test of the residuals of the model with transformed data was applied for each bacterial cluster/trimester. If the value of the Shapiro-Wilk Test is greater than 0.05, the data is normal. If it is below 0.05, the data significantly deviate from a normal distribution. For all the data, Shapiro-Wilk tests were above 0.05 and data was also visualised with ggqqplot(resid(X)) and hist(log2(X + 0.01)) as exemplified but silenced in the code, before performing the lmer test.

Here, the bacterial LPS cluster and the LPS pathway that was DA between T1D and non-T1D women were correlated to the pathology markers as well.

7.2 DA analysis between women with and without T1D for LPS cluster

7.2.1 Trimester 1

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -1.6433810 1.3196126 23 -1.2453511 0.2255414
HLA.6DRMLDRXX 0.2906911 0.4489995 23 0.6474197 0.5237704
HLA.6DRMLGroup3o4 -0.0559100 0.3886996 23 -0.1438387 0.8868807
Nulliparous1 -0.3420883 0.3086685 23 -1.1082710 0.2792001
Age_LMP -0.0051168 0.0390080 23 -0.1311729 0.8967792
BMI_conception -0.0033042 0.0300032 23 -0.1101277 0.9132634
T1Dstatusyes 0.2602963 0.3297942 23 0.7892689 0.4380160

7.2.2 Trimester 2

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -1.1582481 1.3235908 32.41540 -0.8750802 0.3879684
HLA.6DRMLDRXX 0.2223894 0.3725565 27.22933 0.5969278 0.5554869
HLA.6DRMLGroup3o4 0.1338557 0.3139184 29.40579 0.4264029 0.6729197
Nulliparous1 0.1287598 0.2664095 29.58796 0.4833154 0.6324293
Age_LMP -0.0410761 0.0328120 33.17971 -1.2518628 0.2193734
BMI_conception 0.0045755 0.0275374 30.36960 0.1661572 0.8691346
T1Dstatusyes 0.6514646 0.2724944 28.58439 2.3907449 0.0236300

7.2.3 Trimester 3

Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0107520 0.2108824 66.83673 0.0509859 0.9594889
HLA.6DRMLDRXX 0.0996802 0.0660141 63.57378 1.5099835 0.1360022
HLA.6DRMLGroup3o4 0.1128579 0.0484525 60.46819 2.3292451 0.0232041
Nulliparous1 0.0741663 0.0409021 65.47958 1.8132629 0.0743745
Age_LMP -0.0011075 0.0048734 67.04519 -0.2272593 0.8209137
BMI_conception 0.0089790 0.0043983 64.60494 2.0414955 0.0452898
T1Dstatusyes 0.1178115 0.0405153 57.45676 2.9078282 0.0051650

7.3 DA analysis between women with and without T1D for SCFA cluster

7.3.1 Trimester 1

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -7.0067155 1.3688892 22.03822 -5.1185410 0.0000394
HLA.6DRMLDRXX 0.2752130 0.4550949 18.19778 0.6047376 0.5528199
HLA.6DRMLGroup3o4 -0.0583332 0.3952480 18.30389 -0.1475863 0.8842829
Nulliparous1 0.7171346 0.3375397 19.80073 2.1245932 0.0464096
Age_LMP 0.0225084 0.0401055 18.75368 0.5612283 0.5812869
BMI_conception 0.1389776 0.0316896 18.90027 4.3855975 0.0003215
T1Dstatusyes -1.3466803 0.3648217 19.86171 -3.6913386 0.0014596

7.3.2 Trimester 2

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -4.4755646 1.6756956 34.67430 -2.6708697 0.0114401
HLA.6DRMLDRXX 0.4550670 0.4688920 29.70262 0.9705158 0.3396267
HLA.6DRMLGroup3o4 -0.1879699 0.3987407 31.56759 -0.4714087 0.6405907
Nulliparous1 -0.6838486 0.3363860 31.72138 -2.0329283 0.0505002
Age_LMP 0.0441097 0.0415885 34.44990 1.0606242 0.2962403
BMI_conception 0.0117459 0.0348169 32.17408 0.3373627 0.7380346
T1Dstatusyes -0.6735796 0.3446842 30.75689 -1.9541938 0.0598229

7.3.3 Trimester 3

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -3.2671019 1.1503911 64.93097 -2.8399924 0.0060182
HLA.6DRMLDRXX 0.0457988 0.3610928 59.11285 0.1268340 0.8995023
HLA.6DRMLGroup3o4 -0.0041188 0.2654783 55.10483 -0.0155147 0.9876776
Nulliparous1 -0.1401502 0.2234338 62.10910 -0.6272559 0.5327907
Age_LMP 0.0083584 0.0265765 65.56521 0.3145050 0.7541361
BMI_conception -0.0104525 0.0240376 61.55340 -0.4348409 0.6651987
T1Dstatusyes -0.4671084 0.2223229 51.14845 -2.1010360 0.0405850

7.4 DA analysis between women with and without T1D for K2 cluster

7.4.1 Trimester 1

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -5.8702258 2.0005448 23 -2.9343136 0.0074521
HLA.6DRMLDRXX 0.4790897 0.6806873 23 0.7038323 0.4886023
HLA.6DRMLGroup3o4 0.2745809 0.5892721 23 0.4659663 0.6456224
Nulliparous1 -0.3622790 0.4679443 23 -0.7741926 0.4467027
Age_LMP 0.0180086 0.0591364 23 0.3045269 0.7634649
BMI_conception 0.0394253 0.0454852 23 0.8667732 0.3950191
T1Dstatusyes 0.5734775 0.4999710 23 1.1470215 0.2631653

7.4.2 Trimester 2

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -5.3530822 1.3141192 40.75242 -4.0735135 0.0002082
HLA.6DRMLDRXX 0.8724441 0.3224072 42.07774 2.7060320 0.0097927
HLA.6DRMLGroup3o4 0.3958963 0.2691172 42.97689 1.4710923 0.1485508
Nulliparous1 -0.0432721 0.2502650 40.47789 -0.1729053 0.8635876
Age_LMP -0.0259947 0.0321593 42.21175 -0.8083108 0.4234439
BMI_conception 0.0623273 0.0259068 41.55772 2.4058278 0.0206658
T1Dstatusyes 0.7743733 0.2344162 42.52743 3.3034117 0.0019433

7.4.3 Trimester 3

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -6.0995751 1.2807845 65.36141 -4.7623742 0.0000110
HLA.6DRMLDRXX 0.6088388 0.4069787 62.93906 1.4959966 0.1396524
HLA.6DRMLGroup3o4 0.5452389 0.3014806 62.61488 1.8085374 0.0753249
Nulliparous1 -0.0184600 0.2513861 63.69422 -0.0734328 0.9416919
Age_LMP 0.0266118 0.0295003 65.29944 0.9020861 0.3703266
BMI_conception 0.0382420 0.0268946 65.08273 1.4219196 0.1598243
T1Dstatusyes 0.3070255 0.2518159 61.30539 1.2192458 0.2274213

7.5 DA analysis between women with and without T1D for B12 cluster

7.5.1 Trimester 1

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -6.9167445 1.3653427 22.26560 -5.0659403 0.0000434
HLA.6DRMLDRXX 0.3166052 0.4518402 18.25159 0.7007016 0.4923263
HLA.6DRMLGroup3o4 -0.0870467 0.3924607 18.35051 -0.2217973 0.8269213
Nulliparous1 0.7115349 0.3356472 19.73242 2.1198892 0.0468951
Age_LMP 0.0164714 0.0398398 18.77001 0.4134404 0.6839692
BMI_conception 0.1423184 0.0314839 18.89917 4.5203523 0.0002370
T1Dstatusyes -1.3785186 0.3627977 19.78440 -3.7996891 0.0011411

7.5.2 Trimester 2

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -4.6074073 1.6560862 34.90236 -2.7821060 0.0086531
HLA.6DRMLDRXX 0.4236624 0.4617568 29.79148 0.9175011 0.3662486
HLA.6DRMLGroup3o4 -0.2388604 0.3926445 31.62710 -0.6083377 0.5473080
Nulliparous1 -0.6711590 0.3317223 31.94144 -2.0232557 0.0514827
Age_LMP 0.0464214 0.0410953 34.64247 1.1296043 0.2664042
BMI_conception 0.0137673 0.0343421 32.40590 0.4008863 0.6911349
T1Dstatusyes -0.6818985 0.3394038 30.79535 -2.0091071 0.0533608

7.5.3 Trimester 3

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -3.3232938 1.1788106 65.89886 -2.8191923 0.0063516
HLA.6DRMLDRXX 0.0859758 0.3721257 62.49359 0.2310396 0.8180388
HLA.6DRMLGroup3o4 0.0061581 0.2742768 61.13537 0.0224521 0.9821605
Nulliparous1 -0.1444347 0.2297370 63.74951 -0.6286959 0.5317944
Age_LMP 0.0089015 0.0272001 66.59834 0.3272616 0.7444965
BMI_conception -0.0120659 0.0246956 65.07839 -0.4885840 0.6267786
T1Dstatusyes -0.4753398 0.2302627 59.66136 -2.0643371 0.0433418

7.6 DA analysis between women with and without T1D for B6 cluster

7.6.1 Trimester 1

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -6.7759501 1.9530940 23 -3.4693416 0.0020775
HLA.6DRMLDRXX 0.6859790 0.6645421 23 1.0322581 0.3126842
HLA.6DRMLGroup3o4 0.5263946 0.5752952 23 0.9149991 0.3696859
Nulliparous1 -0.4464106 0.4568451 23 -0.9771596 0.3386568
Age_LMP -0.0109607 0.0577338 23 -0.1898491 0.8510929
BMI_conception 0.0736765 0.0444063 23 1.6591450 0.1106627
T1Dstatusyes -0.2217203 0.4881122 23 -0.4542404 0.6539135

7.6.2 Trimester 2

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -3.1169439 1.9110227 37.59553 -1.6310344 0.1112334
HLA.6DRMLDRXX 0.4956985 0.5520075 32.85191 0.8979922 0.3757242
HLA.6DRMLGroup3o4 0.0918277 0.4630671 32.67452 0.1983033 0.8440365
Nulliparous1 -0.8520740 0.3915246 33.68111 -2.1762974 0.0366426
Age_LMP -0.0733160 0.0472834 37.67620 -1.5505662 0.1293660
BMI_conception 0.0369086 0.0403587 33.99214 0.9145135 0.3668890
T1Dstatusyes -0.8071359 0.4025738 32.82768 -2.0049391 0.0532734

7.6.3 Trimester 3

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -3.5636993 1.3900002 66.11256 -2.5638120 0.0126337
HLA.6DRMLDRXX 0.4731339 0.4347266 60.38700 1.0883481 0.2807661
HLA.6DRMLGroup3o4 0.6466224 0.3188767 54.95758 2.0278129 0.0474386
Nulliparous1 -0.3753578 0.2694824 63.76605 -1.3928843 0.1684922
Age_LMP -0.0124523 0.0321249 66.43217 -0.3876202 0.6995363
BMI_conception -0.0520214 0.0289706 61.98673 -1.7956579 0.0774232
T1Dstatusyes -0.3624146 0.2665008 50.24775 -1.3599007 0.1799321

7.7 DA analysis between women with and without T1D for Mucin cluster

7.7.1 Trimester 1

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -5.0319756 2.2074803 23 -2.2795110 0.0322356
HLA.6DRMLDRXX -0.3798642 0.7510973 23 -0.5057456 0.6178481
HLA.6DRMLGroup3o4 -0.5183011 0.6502262 23 -0.7971089 0.4335400
Nulliparous1 0.3863749 0.5163482 23 0.7482836 0.4618728
Age_LMP 0.0341055 0.0652535 23 0.5226615 0.6062084
BMI_conception 0.0591938 0.0501901 23 1.1793916 0.2502986
T1Dstatusyes -1.3735145 0.5516878 23 -2.4896592 0.0204550

7.7.2 Trimester 2

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -0.9670019 2.2965335 36.07920 -0.4210702 0.6762017
HLA.6DRMLDRXX 0.1370725 0.6459990 30.67331 0.2121868 0.8333650
HLA.6DRMLGroup3o4 -0.0901982 0.5410136 30.19880 -0.1667208 0.8687011
Nulliparous1 -0.0332220 0.4615840 32.83140 -0.0719740 0.9430593
Age_LMP -0.0401380 0.0567915 35.77154 -0.7067614 0.4842935
BMI_conception -0.0316798 0.0476521 33.09692 -0.6648140 0.5107756
T1Dstatusyes -0.8706562 0.4709949 30.58838 -1.8485469 0.0742110

7.7.3 Trimester 3

Estimate Std. Error df t value Pr(>|t|)
(Intercept) -1.4101345 1.3499709 67.54227 -1.044567 0.2999475
HLA.6DRMLDRXX 0.6962144 0.4319032 63.92860 1.611968 0.1118953
HLA.6DRMLGroup3o4 0.6165236 0.3190852 63.40918 1.932160 0.0578101
Nulliparous1 -0.4360888 0.2658734 64.68623 -1.640212 0.1058155
Age_LMP -0.0366811 0.0309914 67.99397 -1.183590 0.2406970
BMI_conception -0.0494113 0.0282906 67.73453 -1.746561 0.0852468
T1Dstatusyes -0.4302908 0.2684126 63.15497 -1.603095 0.1139039

8 Quantitative PCR to validate differentially abundant species

8.1 Testing for differences in qPCR relative abundance of DA taxa between women with and without T1D (metagenomics Trimester 3)

Linear mixed model fit by maximum likelihood . t-tests use Satterthwaite's method [
lmerModLmerTest]
Formula: log10(DDCT_Vulgatus * 1000 + 0.01) ~ HLA_6DRML + (1 | motherid) +  
    as.factor(Nulliparous) + Age_LMP + BMI_conception + (1 |  
    Extrac_batch) + T1Dstatus
   Data: data[data$T1Dstatus != "GDM", ]

     AIC      BIC   logLik deviance df.resid 
   157.4    177.4    -68.7    137.4       45 

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.1768 -0.2886  0.1256  0.4169  0.9417 

Random effects:
 Groups       Name        Variance Std.Dev.
 motherid     (Intercept) 0.5292   0.7274  
 Extrac_batch (Intercept) 0.0000   0.0000  
 Residual                 0.2018   0.4492  
Number of obs: 55, groups:  motherid, 53; Extrac_batch, 2

Fixed effects:
                        Estimate Std. Error       df t value Pr(>|t|)  
(Intercept)             -0.81147    1.30617 54.83737  -0.621   0.5370  
HLA_6DRMLDRXX            0.17885    0.39730 52.40643   0.450   0.6545  
HLA_6DRMLGroup3o4        0.05222    0.29217 51.29687   0.179   0.8589  
as.factor(Nulliparous)1 -0.40903    0.24951 53.15331  -1.639   0.1070  
Age_LMP                  0.02083    0.03055 54.62711   0.682   0.4983  
BMI_conception          -0.01586    0.02707 53.22928  -0.586   0.5604  
T1Dstatusyes             0.54283    0.25823 51.04616   2.102   0.0405 *
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Correlation of Fixed Effects:
            (Intr) HLA_6DRMLD HLA_6DRMLG a.(N)1 Ag_LMP BMI_cn
HLA_6DRMLDR -0.345                                           
HLA_6DRMLG3 -0.220  0.564                                    
as.fctr(N)1 -0.146 -0.061     -0.126                         
Age_LMP     -0.805  0.149      0.052     -0.059              
BMI_concptn -0.571  0.146      0.001      0.275  0.038       
T1Dstatusys -0.125  0.322      0.317     -0.156  0.053 -0.135
optimizer (nloptwrap) convergence code: 0 (OK)
boundary (singular) fit: see ?isSingular

Linear mixed model fit by maximum likelihood . t-tests use Satterthwaite's method [
lmerModLmerTest]
Formula: log10(DDCT_Caccae * 1000 + 0.1) ~ (1 | motherid) + HLA_6DRML +  
    as.factor(Nulliparous) + Age_LMP + BMI_conception + as.factor(Extrac_batch) +  
    T1Dstatus
   Data: data[data$T1Dstatus != "GDM", ]

     AIC      BIC   logLik deviance df.resid 
   102.3    122.3    -41.1     82.3       45 

Scaled residuals: 
     Min       1Q   Median       3Q      Max 
-1.80333 -0.64161 -0.05786  0.70901  2.02919 

Random effects:
 Groups   Name        Variance Std.Dev.
 motherid (Intercept) 0.0555   0.2356  
 Residual             0.2062   0.4540  
Number of obs: 55, groups:  motherid, 53

Fixed effects:
                         Estimate Std. Error       df t value Pr(>|t|)    
(Intercept)              -1.21871    0.83431 54.85470  -1.461  0.14979    
HLA_6DRMLDRXX             0.66103    0.23965 53.10875   2.758  0.00795 ** 
HLA_6DRMLGroup3o4         0.47776    0.17316 49.78300   2.759  0.00809 ** 
as.factor(Nulliparous)1  -0.44631    0.15443 54.76874  -2.890  0.00551 ** 
Age_LMP                   0.02285    0.01889 54.77517   1.209  0.23171    
BMI_conception           -0.01710    0.01648 53.82051  -1.038  0.30400    
as.factor(Extrac_batch)2 -0.27963    0.33995 54.87212  -0.823  0.41432    
T1Dstatusyes              0.68892    0.15461 50.32102   4.456 4.67e-05 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Correlation of Fixed Effects:
            (Intr) HLA_6DRMLD HLA_6DRMLG a.(N)1 Ag_LMP BMI_cn a.(E_)
HLA_6DRMLDR -0.383                                                  
HLA_6DRMLG3 -0.248  0.565                                           
as.fctr(N)1 -0.225 -0.010     -0.085                                
Age_LMP     -0.818  0.185      0.074      0.013                     
BMI_concptn -0.606  0.202      0.051      0.324  0.097              
as.fct(E_)2 -0.337  0.188      0.139      0.262  0.241  0.218       
T1Dstatusys -0.048  0.255      0.262     -0.211  0.000 -0.150 -0.204

8.2 Correlation between relative abundances obtained by metagenomics sequencing and qPCR assays

Microbiome qPCR R n P-value adj-P
Bacteroides_caccae Bacteroides_caccaeqPCR 0.9095 55 0.000e+00 0.000e+00
Bacteroides_vulgatus Bacteroides_vulgatusqPCR 0.7396 55 1.121e-10 4.205e-10

9 Markers of gut pathology and vitamin B6 and B12 measurements

9.1 Testing for differences in iFABP levels between women with and without T1D (metagenomics Trimester 3)

Serum intestinal fatty acid-binding protein (iFABP) was measured in 27 and 28 pregnancies in women with and without T1D respectively (Avg. T1D= 585.88 and non-T1D= 314.1)

The data doesn't distribute normally, so I can not use lmer. I tried transforming the data but I never get a normal distribution. So differences between T1D and non-T1Dwere tested only using a Mann-Whitney test using one of the repeated measurements per woman (i.e. if a specific woman has 2 samples from the same trimester either from the same or different pregnancies, one of them was removed).

The comparison using Mann-Whitney non-paramethis test was performed with:

T1D samples: 26

Non-T1D samples: 26


    Wilcoxon rank sum test with continuity correction

data:  IFABPT3p[c(1:26), 1] and IFABPT3p[c(29:55), 1]
W = 145.5, p-value = 0.000264
alternative hypothesis: true location shift is not equal to 0

9.2 Testing for differences in Calprotectin levels between women with and without T1D (metagenomics Trimester 3)

Calprotectin was measured in 32 and 29 pregnancies in women with and without T1D respectively (Avg. T1D= 112 and non-T1D= 36.1)

When doing log2 transformation of the data, the distribution is closer to the normal and I can use lmer as well. Differences between T1D and non-T1D were also tested using a Mann-Whitney test with one of the repeated measurements per woman (i.e. if a specific woman has 2 samples from the same trimester either from the same or different pregnancy, one of them was removed).

The comparison was performed with:

T1D samples: 31

Non-T1D samples: 26


    Wilcoxon rank sum test with continuity correction

data:  CalT3p[c(1:26), 1] and CalT3p[c(30:61), 1]
W = 284, p-value = 0.0396
alternative hypothesis: true location shift is not equal to 0
Linear mixed model fit by maximum likelihood . t-tests use Satterthwaite's method [
lmerModLmerTest]
Formula: log2(Calprotectin) ~ T1Dstatus + (1 | motherid)
   Data: CalT3p

     AIC      BIC   logLik deviance df.resid 
   235.7    244.1   -113.8    227.7       57 

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.2822 -0.4055  0.0497  0.3808  1.0069 

Random effects:
 Groups   Name        Variance Std.Dev.
 motherid (Intercept) 1.9656   1.4020  
 Residual             0.5907   0.7686  
Number of obs: 61, groups:  motherid, 58

Fixed effects:
             Estimate Std. Error      df t value Pr(>|t|)    
(Intercept)    4.6706     0.3112 56.6728  15.007   <2e-16 ***
T1Dstatusyes   1.0573     0.4204 57.6487   2.515   0.0147 *  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Correlation of Fixed Effects:
            (Intr)
T1Dstatusys -0.740

10 Correlations between gut microbiome, markers of gut pathology(T3)

This analysis was done only on samples from trimester 3 and removing repeated measurements in the same way that was done when applying a Mann-Whitney test to see differences between T1D and non-T1D women in pathology markers because when applying spearman correlation there is no way to take into account repeated measurements.

All correlations with unadjusted P-values < 0.05 are shown. Also R2 of correlating marker of pathology vs differentially abundant taxa are shown regardless of being strong correlations and/or significant.

columns rows r n P
7 Bifidobacterium_adolescentis Calprotectin -0.0380798 39 0.8179717
14 Bacteroides_caccae Calprotectin 0.1156955 45 0.4491602
21 Bacteroides_uniformis Calprotectin 0.0649766 57 0.6310836
28 Bacteroides_vulgatus Calprotectin 0.2712325 54 0.0472706
35 Bacteroidales_bacterium_ph8 Calprotectin 0.1986253 50 0.1667288
42 Escherichia_coli Calprotectin 0.2330322 50 0.1033938
columns rows r n P
7 Bifidobacterium_adolescentis iFABP -0.1388102 36 0.4194430
14 Bacteroides_caccae iFABP 0.1604928 42 0.3099514
21 Bacteroides_uniformis iFABP 0.0964987 52 0.4961643
28 Bacteroides_vulgatus iFABP 0.1751888 49 0.2285889
35 Bacteroidales_bacterium_ph8 iFABP -0.1178099 48 0.4251730
42 Escherichia_coli iFABP -0.0089056 47 0.9526249

11 Correlations of ifferentially abundant taxa vs. all other bacteria in the microbiome

[1] 147
columns rows r n P Padj
75 Bifidobacterium_adolescentis Eubacterium_hallii 0.4036646 44 0.0065833 0.0635302
80 Bifidobacterium_adolescentis Eubacterium_ventriosum 0.4272844 36 0.0093444 0.0875501
87 Bifidobacterium_adolescentis Coprococcus_comes 0.5170732 41 0.0005370 0.0057971
91 Bifidobacterium_adolescentis Dorea_longicatena 0.5642168 42 0.0000996 0.0011016
109 Bifidobacterium_adolescentis Ruminococcaceae_bacterium_D16 -0.6210526 19 0.0045411 0.0452048
110 Bifidobacterium_adolescentis Ruminococcus_bromii 0.3966899 41 0.0102340 0.0944292
114 Bifidobacterium_adolescentis Ruminococcus_sp_5_1_39BFAA 0.6597403 21 0.0011382 0.0120577
1801 Bacteroides_caccae Bacteroides_vulgatus 0.4301726 53 0.0013047 0.0137665
1872 Bacteroides_caccae Faecalibacterium_prausnitzii -0.4244330 54 0.0013807 0.0145404
2685 Bacteroidales_bacterium_ph8 Bacteroides_eggerthii 0.3902503 45 0.0080442 0.0761224
5189 Bacteroides_uniformis Parabacteroides_distasonis -0.3540316 57 0.0068970 0.0663188
5232 Bacteroides_uniformis Coprococcus_comes -0.3678475 63 0.0030172 0.0306313
5261 Bacteroides_uniformis Subdoligranulum_unclassified -0.3397349 66 0.0052576 0.0517606
5336 Bacteroides_vulgatus Parabacteroides_distasonis 0.3551227 55 0.0078025 0.0740965
5381 Bacteroides_vulgatus Coprococcus_sp_ART55_1 -0.6614035 19 0.0020433 0.0211036
5397 Bacteroides_vulgatus Peptostreptococcaceae_noname_unclassified -0.5013684 28 0.0065681 0.0634408
13813 Escherichia_coli Lachnospiraceae_bacterium_3_1_46FAA 0.3588023 55 0.0071442 0.0683763
20870 Escherichia_coli Escherichia_unclassified 0.7408034 44 0.0000000 0.0000001
40 Barnesiella_intestinihominis Bifidobacterium_adolescentis 0.4592334 41 0.0025254 0.0258346
18011 Bacteroides_caccae Bacteroides_vulgatus 0.4301726 53 0.0013047 0.0137665
1871 Anaerotruncus_unclassified Bacteroides_caccae -0.6168582 28 0.0004721 0.0051117
3858 Bacteroides_ovatus Bacteroides_uniformis 0.3222070 64 0.0094180 0.0879583
4887 Bacteroides_stercoris Bacteroides_uniformis -0.3956303 50 0.0044578 0.0444577
13078 Coprococcus_sp_ART55_1 Escherichia_coli -0.6078431 17 0.0096403 0.0897230
15577 Anaerotruncus_colihominis Escherichia_coli 0.4270270 36 0.0093917 0.0877898